From bc7eb313b62822e9a169a280de0d214622ad3b5c Mon Sep 17 00:00:00 2001 From: Weronika Gozdera Date: Sun, 30 Mar 2025 15:57:59 +0200 Subject: [PATCH 1/9] Synthetic data experiments --- notebooks/experiments/synthetic_data.ipynb | 687 ++++++++++++++++++ .../Default/logregccd_aucroc.pdf | Bin 0 -> 15576 bytes .../Default/logregccd_aucroc_metrics.txt | 30 + ...regccd_aucroc_metrics_confusion_matrix.pdf | Bin 0 -> 13074 bytes .../synthetic_data/Default/logregccd_ba.pdf | Bin 0 -> 14899 bytes .../Default/logregccd_ba_metrics.txt | 30 + .../logregccd_ba_metrics_confusion_matrix.pdf | Bin 0 -> 13056 bytes .../Default/logregccd_metrics.txt | 30 + .../logregccd_metrics_confusion_matrix.pdf | Bin 0 -> 13073 bytes .../Default/sklearn_metrics.txt | 30 + .../sklearn_metrics_confusion_matrix.pdf | Bin 0 -> 12743 bytes .../Few features/logregccd_aucroc.pdf | Bin 0 -> 15932 bytes .../Few features/logregccd_aucroc_metrics.txt | 29 + ...regccd_aucroc_metrics_confusion_matrix.pdf | Bin 0 -> 12270 bytes 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Logistic Regression vs LogRegCCD on Synthetic Data" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "c:\\Users\\weron\\Pulpit\\sem1\\aml\\projects\\proj1\\LogRegCCD\\notebooks\n", + "c:\\Users\\weron\\Pulpit\\sem1\\aml\\projects\\proj1\\LogRegCCD\n" + ] + } + ], + "source": [ + "import os\n", + "if not os.path.exists(\"./notebooks\"):\n", + " %cd ..\n", + " %cd ..\n", + "\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import json\n", + "import pickle\n", + "import pandas as pd\n", + "from dataclasses import dataclass\n", + "from sklearn.linear_model import LogisticRegression\n", + "from sklearn.preprocessing import StandardScaler\n", + "from sklearn.metrics import confusion_matrix, classification_report, accuracy_score, ConfusionMatrixDisplay\n", + "from src.log_reg_ccd import LogRegCCD\n", + "from src.data.data_loader import SyntheticDataLoader\n", + "from src.data.dataset_interface import DataInterface\n", + "import src.measures as measure" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Utils" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "@dataclass\n", + "class ExperimentParams:\n", + " title: str\n", + " n: int\n", + " p: float\n", + " d: int\n", + " g: float\n", + " eps: float = 1e-3\n", + " lam_max: float = 10.0\n", + " lam_count: int = 100\n", + " k_fold: int = 10" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "class color:\n", + " PURPLE = '\\033[95m'\n", + " CYAN = '\\033[96m'\n", + " DARKCYAN = '\\033[36m'\n", + " BLUE = '\\033[94m'\n", + " GREEN = '\\033[92m'\n", + " YELLOW = '\\033[93m'\n", + " RED = '\\033[91m'\n", + " BOLD = '\\033[1m'\n", + " UNDERLINE = '\\033[4m'\n", + " END = '\\033[0m'" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "def test_model(model, X, y, save_path=None, ccd=True):\n", + " results = {}\n", + "\n", + " y_pred = model.predict(X)\n", + " if ccd:\n", + " y_pred_proba = model.predict_proba(X)\n", + " results['coefficients'] = model.best_beta\n", + " else:\n", + " y_pred_proba = model.predict_proba(X)[:,1]\n", + " results['coefficients'] = np.concatenate((model.intercept_, model.coef_[0]))\n", + "\n", + " results['accuracy'] = accuracy_score(y, y_pred)\n", + " results['classification_report'] = classification_report(y, y_pred)\n", + " results['confusion_matrix'] = confusion_matrix(y, y_pred)\n", + " results['auc_roc'] = aucroc(y, y_pred_proba)\n", + " results['balanced_accuracy'] = ba(y, y_pred)\n", + "\n", + " # print(f\"\\nCoefficients: {results['coefficients']}\")\n", + " # print(f\"\\n{color.CYAN}{color.UNDERLINE}{aucroc}{color.END}: {results['auc_roc']}\")\n", + " # print(f\"\\n{color.CYAN}{color.UNDERLINE}{ba}{color.END}: {results['balanced_accuracy']}\")\n", + " # print(f\"\\nAccuracy: {results['accuracy']:.4f}\")\n", + " # print(f\"\\nClassification Report:\\n{results['classification_report']}\")\n", + " # print(f\"\\nConfusion Matrix:\")\n", + " plt.figure()\n", + " disp = ConfusionMatrixDisplay(confusion_matrix=results['confusion_matrix'])\n", + " disp.plot()\n", + "\n", + " if save_path:\n", + " with open(save_path, 'w') as f:\n", + " f.write(\"=\"*50 + \"\\n\")\n", + " f.write(\"MODEL EVALUATION RESULTS\\n\")\n", + " f.write(\"=\"*50 + \"\\n\\n\")\n", + " \n", + " f.write(\"COEFFICIENTS:\\n\")\n", + " f.write(str(results['coefficients']) + \"\\n\\n\")\n", + " \n", + " if 'auc_roc' in results:\n", + " f.write(f\"AUC-ROC SCORE: {results['auc_roc']:.4f}\\n\\n\")\n", + " \n", + " if 'balanced_accuracy' in results:\n", + " f.write(f\"BALANCED ACCURACY: {results['balanced_accuracy']:.4f}\\n\\n\")\n", + " \n", + " f.write(f\"ACCURACY: {results['accuracy']:.4f}\\n\\n\")\n", + " \n", + " f.write(\"CLASSIFICATION REPORT:\\n\")\n", + " f.write(results['classification_report'] + \"\\n\\n\")\n", + " \n", + " f.write(\"CONFUSION MATRIX:\\n\")\n", + " np.savetxt(f, results['confusion_matrix'], fmt='%d')\n", + " f.write(\"\\n\")\n", + " \n", + " f.write(\"=\"*50 + \"\\n\")\n", + " \n", + " plot_path = str(save_path).replace('.txt', '_confusion_matrix.pdf')\n", + " plt.savefig(plot_path, format='pdf', bbox_inches='tight')\n", + " \n", + " plt.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Experiments params" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "experiments = [\n", + " \n", + " ExperimentParams(title='Default', n=1000, p=0.5, d=10, g=0.1),\n", + "\n", + " ExperimentParams(title='Few samples', n=100, p=0.5, d=10, g=0.1),\n", + " ExperimentParams(title='Lots of samples', n=10000, p=0.5, d=10, g=0.1),\n", + "\n", + " ExperimentParams(title='Slightly imbalanced', n=1000, p=0.3, d=10, g=0.1),\n", + " ExperimentParams(title='Highly impalanced', n=1000, p=0.1, d=10, g=0.1),\n", + "\n", + " ExperimentParams(title='Few features', n=1000, p=0.5, d=5, g=0.1),\n", + " ExperimentParams(title='Lots of features', n=1000, p=0.5, d=100, g=0.1),\n", + "\n", + " ExperimentParams(title='Moderate correlation', n=1000, p=0.5, d=10, g=0.5),\n", + " ExperimentParams(title='Strong correlation', n=1000, p=0.5, d=10, g=0.9),\n", + "\n", + "]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Experiment choice" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "random_seed = 42\n", + "chosen_experiment = 'Default'\n", + "results_main_dir = 'synthetic_data'" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "results_dir = os.path.join('results', os.path.join(results_main_dir, chosen_experiment))\n", + "os.makedirs(results_dir, exist_ok=True)\n", + "\n", + "experiment = next(exp for exp in experiments if exp.title == chosen_experiment)\n", + "aucroc = measure.AUCROC()\n", + "ba = measure.BalancedAccuracy()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\weron\\AppData\\Roaming\\Python\\Python313\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", + " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", + "C:\\Users\\weron\\AppData\\Roaming\\Python\\Python313\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", + " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", + "C:\\Users\\weron\\AppData\\Roaming\\Python\\Python313\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", + " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", + "C:\\Users\\weron\\AppData\\Roaming\\Python\\Python313\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", + " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", + "C:\\Users\\weron\\AppData\\Roaming\\Python\\Python313\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", + " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", + "C:\\Users\\weron\\AppData\\Roaming\\Python\\Python313\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", + " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n" + ] + }, + { + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mKeyboardInterrupt\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[11]\u001b[39m\u001b[32m, line 39\u001b[39m\n\u001b[32m 36\u001b[39m test_model(model_ccd, X_test, y_test, os.path.join(results_dir, \u001b[33m'\u001b[39m\u001b[33mlogregccd_ba_metrics.txt\u001b[39m\u001b[33m'\u001b[39m))\n\u001b[32m 38\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m idx, exp \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(experiments):\n\u001b[32m---> \u001b[39m\u001b[32m39\u001b[39m \u001b[43mex\u001b[49m\u001b[43m(\u001b[49m\u001b[43mexp\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[11]\u001b[39m\u001b[32m, line 35\u001b[39m, in \u001b[36mex\u001b[39m\u001b[34m(experiment)\u001b[39m\n\u001b[32m 33\u001b[39m fig.savefig(os.path.join(results_dir, \u001b[33m'\u001b[39m\u001b[33mlogregccd_ba.pdf\u001b[39m\u001b[33m'\u001b[39m), \u001b[38;5;28mformat\u001b[39m=\u001b[33m'\u001b[39m\u001b[33mpdf\u001b[39m\u001b[33m'\u001b[39m, bbox_inches=\u001b[33m'\u001b[39m\u001b[33mtight\u001b[39m\u001b[33m'\u001b[39m)\n\u001b[32m 34\u001b[39m plt.close(fig)\n\u001b[32m---> \u001b[39m\u001b[32m35\u001b[39m \u001b[43mmodel_ccd\u001b[49m\u001b[43m.\u001b[49m\u001b[43mvalidate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX_valid\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my_valid\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmeasure\u001b[49m\u001b[43m=\u001b[49m\u001b[43mba\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 36\u001b[39m test_model(model_ccd, X_test, y_test, os.path.join(results_dir, \u001b[33m'\u001b[39m\u001b[33mlogregccd_ba_metrics.txt\u001b[39m\u001b[33m'\u001b[39m))\n", + "\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\weron\\Pulpit\\sem1\\aml\\projects\\proj1\\LogRegCCD\\src\\log_reg_ccd.py:129\u001b[39m, in \u001b[36mLogRegCCD.validate\u001b[39m\u001b[34m(self, X_valid, y_valid, measure)\u001b[39m\n\u001b[32m 126\u001b[39m max_measure_lam = -\u001b[32m1\u001b[39m\n\u001b[32m 128\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m idx, lam \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(\u001b[38;5;28mself\u001b[39m.lambdas):\n\u001b[32m--> \u001b[39m\u001b[32m129\u001b[39m value = \u001b[43mmeasure\u001b[49m\u001b[43m(\u001b[49m\u001b[43my_valid\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmethod\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX_valid\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbeta_idx\u001b[49m\u001b[43m=\u001b[49m\u001b[43midx\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 131\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m value > max_measure_value:\n\u001b[32m 132\u001b[39m max_measure_value = value\n", + "\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\weron\\Pulpit\\sem1\\aml\\projects\\proj1\\LogRegCCD\\src\\measures.py:62\u001b[39m, in \u001b[36mBalancedAccuracy.__call__\u001b[39m\u001b[34m(self, y_true, y_pred)\u001b[39m\n\u001b[32m 61\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m__call__\u001b[39m(\u001b[38;5;28mself\u001b[39m, y_true, y_pred):\n\u001b[32m---> \u001b[39m\u001b[32m62\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mbalanced_accuracy_score\u001b[49m\u001b[43m(\u001b[49m\u001b[43my_true\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my_pred\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Roaming\\Python\\Python313\\site-packages\\sklearn\\utils\\_param_validation.py:216\u001b[39m, in \u001b[36mvalidate_params..decorator..wrapper\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m 210\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m 211\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m config_context(\n\u001b[32m 212\u001b[39m skip_parameter_validation=(\n\u001b[32m 213\u001b[39m prefer_skip_nested_validation \u001b[38;5;129;01mor\u001b[39;00m global_skip_validation\n\u001b[32m 214\u001b[39m )\n\u001b[32m 215\u001b[39m ):\n\u001b[32m--> \u001b[39m\u001b[32m216\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 217\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m InvalidParameterError \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[32m 218\u001b[39m \u001b[38;5;66;03m# When the function is just a wrapper around an estimator, we allow\u001b[39;00m\n\u001b[32m 219\u001b[39m \u001b[38;5;66;03m# the function to delegate validation to the estimator, but we replace\u001b[39;00m\n\u001b[32m 220\u001b[39m \u001b[38;5;66;03m# the name of the estimator by the name of the function in the error\u001b[39;00m\n\u001b[32m 221\u001b[39m \u001b[38;5;66;03m# message to avoid confusion.\u001b[39;00m\n\u001b[32m 222\u001b[39m msg = re.sub(\n\u001b[32m 223\u001b[39m \u001b[33mr\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mparameter of \u001b[39m\u001b[33m\\\u001b[39m\u001b[33mw+ must be\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 224\u001b[39m \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mparameter of \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfunc.\u001b[34m__qualname__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m must be\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 225\u001b[39m \u001b[38;5;28mstr\u001b[39m(e),\n\u001b[32m 226\u001b[39m )\n", + "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Roaming\\Python\\Python313\\site-packages\\sklearn\\metrics\\_classification.py:2520\u001b[39m, in \u001b[36mbalanced_accuracy_score\u001b[39m\u001b[34m(y_true, y_pred, sample_weight, adjusted)\u001b[39m\n\u001b[32m 2442\u001b[39m \u001b[38;5;129m@validate_params\u001b[39m(\n\u001b[32m 2443\u001b[39m {\n\u001b[32m 2444\u001b[39m \u001b[33m\"\u001b[39m\u001b[33my_true\u001b[39m\u001b[33m\"\u001b[39m: [\u001b[33m\"\u001b[39m\u001b[33marray-like\u001b[39m\u001b[33m\"\u001b[39m],\n\u001b[32m (...)\u001b[39m\u001b[32m 2450\u001b[39m )\n\u001b[32m 2451\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mbalanced_accuracy_score\u001b[39m(y_true, y_pred, *, sample_weight=\u001b[38;5;28;01mNone\u001b[39;00m, adjusted=\u001b[38;5;28;01mFalse\u001b[39;00m):\n\u001b[32m 2452\u001b[39m \u001b[38;5;250m \u001b[39m\u001b[33;03m\"\"\"Compute the balanced accuracy.\u001b[39;00m\n\u001b[32m 2453\u001b[39m \n\u001b[32m 2454\u001b[39m \u001b[33;03m The balanced accuracy in binary and multiclass classification problems to\u001b[39;00m\n\u001b[32m (...)\u001b[39m\u001b[32m 2518\u001b[39m \u001b[33;03m np.float64(0.625)\u001b[39;00m\n\u001b[32m 2519\u001b[39m \u001b[33;03m \"\"\"\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m2520\u001b[39m C = \u001b[43mconfusion_matrix\u001b[49m\u001b[43m(\u001b[49m\u001b[43my_true\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my_pred\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msample_weight\u001b[49m\u001b[43m=\u001b[49m\u001b[43msample_weight\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 2521\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m np.errstate(divide=\u001b[33m\"\u001b[39m\u001b[33mignore\u001b[39m\u001b[33m\"\u001b[39m, invalid=\u001b[33m\"\u001b[39m\u001b[33mignore\u001b[39m\u001b[33m\"\u001b[39m):\n\u001b[32m 2522\u001b[39m per_class = np.diag(C) / C.sum(axis=\u001b[32m1\u001b[39m)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Roaming\\Python\\Python313\\site-packages\\sklearn\\utils\\_param_validation.py:189\u001b[39m, in \u001b[36mvalidate_params..decorator..wrapper\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m 187\u001b[39m global_skip_validation = get_config()[\u001b[33m\"\u001b[39m\u001b[33mskip_parameter_validation\u001b[39m\u001b[33m\"\u001b[39m]\n\u001b[32m 188\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m global_skip_validation:\n\u001b[32m--> \u001b[39m\u001b[32m189\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 191\u001b[39m func_sig = signature(func)\n\u001b[32m 193\u001b[39m \u001b[38;5;66;03m# Map *args/**kwargs to the function signature\u001b[39;00m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Roaming\\Python\\Python313\\site-packages\\sklearn\\metrics\\_classification.py:339\u001b[39m, in \u001b[36mconfusion_matrix\u001b[39m\u001b[34m(y_true, y_pred, labels, sample_weight, normalize)\u001b[39m\n\u001b[32m 244\u001b[39m \u001b[38;5;129m@validate_params\u001b[39m(\n\u001b[32m 245\u001b[39m {\n\u001b[32m 246\u001b[39m \u001b[33m\"\u001b[39m\u001b[33my_true\u001b[39m\u001b[33m\"\u001b[39m: [\u001b[33m\"\u001b[39m\u001b[33marray-like\u001b[39m\u001b[33m\"\u001b[39m],\n\u001b[32m (...)\u001b[39m\u001b[32m 255\u001b[39m y_true, y_pred, *, labels=\u001b[38;5;28;01mNone\u001b[39;00m, sample_weight=\u001b[38;5;28;01mNone\u001b[39;00m, normalize=\u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[32m 256\u001b[39m ):\n\u001b[32m 257\u001b[39m \u001b[38;5;250m \u001b[39m\u001b[33;03m\"\"\"Compute confusion matrix to evaluate the accuracy of a classification.\u001b[39;00m\n\u001b[32m 258\u001b[39m \n\u001b[32m 259\u001b[39m \u001b[33;03m By definition a confusion matrix :math:`C` is such that :math:`C_{i, j}`\u001b[39;00m\n\u001b[32m (...)\u001b[39m\u001b[32m 337\u001b[39m \u001b[33;03m (np.int64(0), np.int64(2), np.int64(1), np.int64(1))\u001b[39;00m\n\u001b[32m 338\u001b[39m \u001b[33;03m \"\"\"\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m339\u001b[39m y_true, y_pred = \u001b[43mattach_unique\u001b[49m\u001b[43m(\u001b[49m\u001b[43my_true\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my_pred\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 340\u001b[39m y_type, y_true, y_pred = _check_targets(y_true, y_pred)\n\u001b[32m 341\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m y_type \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m (\u001b[33m\"\u001b[39m\u001b[33mbinary\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mmulticlass\u001b[39m\u001b[33m\"\u001b[39m):\n", + "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Roaming\\Python\\Python313\\site-packages\\sklearn\\utils\\_unique.py:56\u001b[39m, in \u001b[36mattach_unique\u001b[39m\u001b[34m(return_tuple, *ys)\u001b[39m\n\u001b[32m 28\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mattach_unique\u001b[39m(*ys, return_tuple=\u001b[38;5;28;01mFalse\u001b[39;00m):\n\u001b[32m 29\u001b[39m \u001b[38;5;250m \u001b[39m\u001b[33;03m\"\"\"Attach unique values of ys to ys and return the results.\u001b[39;00m\n\u001b[32m 30\u001b[39m \n\u001b[32m 31\u001b[39m \u001b[33;03m The result is a view of y, and the metadata (unique) is not attached to y.\u001b[39;00m\n\u001b[32m (...)\u001b[39m\u001b[32m 54\u001b[39m \u001b[33;03m Input data with unique values attached.\u001b[39;00m\n\u001b[32m 55\u001b[39m \u001b[33;03m \"\"\"\u001b[39;00m\n\u001b[32m---> \u001b[39m\u001b[32m56\u001b[39m res = \u001b[38;5;28;43mtuple\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m_attach_unique\u001b[49m\u001b[43m(\u001b[49m\u001b[43my\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mys\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 57\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(res) == \u001b[32m1\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m return_tuple:\n\u001b[32m 58\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m res[\u001b[32m0\u001b[39m]\n", + "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Roaming\\Python\\Python313\\site-packages\\sklearn\\utils\\_unique.py:56\u001b[39m, in \u001b[36m\u001b[39m\u001b[34m(.0)\u001b[39m\n\u001b[32m 28\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mattach_unique\u001b[39m(*ys, return_tuple=\u001b[38;5;28;01mFalse\u001b[39;00m):\n\u001b[32m 29\u001b[39m \u001b[38;5;250m \u001b[39m\u001b[33;03m\"\"\"Attach unique values of ys to ys and return the results.\u001b[39;00m\n\u001b[32m 30\u001b[39m \n\u001b[32m 31\u001b[39m \u001b[33;03m The result is a view of y, and the metadata (unique) is not attached to y.\u001b[39;00m\n\u001b[32m (...)\u001b[39m\u001b[32m 54\u001b[39m \u001b[33;03m Input data with unique values attached.\u001b[39;00m\n\u001b[32m 55\u001b[39m \u001b[33;03m \"\"\"\u001b[39;00m\n\u001b[32m---> \u001b[39m\u001b[32m56\u001b[39m res = \u001b[38;5;28mtuple\u001b[39m(\u001b[43m_attach_unique\u001b[49m\u001b[43m(\u001b[49m\u001b[43my\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mfor\u001b[39;00m y \u001b[38;5;129;01min\u001b[39;00m ys)\n\u001b[32m 57\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(res) == \u001b[32m1\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m return_tuple:\n\u001b[32m 58\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m res[\u001b[32m0\u001b[39m]\n", + "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Roaming\\Python\\Python313\\site-packages\\sklearn\\utils\\_unique.py:23\u001b[39m, in \u001b[36m_attach_unique\u001b[39m\u001b[34m(y)\u001b[39m\n\u001b[32m 20\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m (\u001b[38;5;167;01mAttributeError\u001b[39;00m, \u001b[38;5;167;01mTypeError\u001b[39;00m):\n\u001b[32m 21\u001b[39m \u001b[38;5;28;01mpass\u001b[39;00m\n\u001b[32m---> \u001b[39m\u001b[32m23\u001b[39m unique = \u001b[43mnp\u001b[49m\u001b[43m.\u001b[49m\u001b[43munique\u001b[49m\u001b[43m(\u001b[49m\u001b[43my\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 24\u001b[39m unique_dtype = np.dtype(y.dtype, metadata={\u001b[33m\"\u001b[39m\u001b[33munique\u001b[39m\u001b[33m\"\u001b[39m: unique})\n\u001b[32m 25\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m y.view(dtype=unique_dtype)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Roaming\\Python\\Python313\\site-packages\\numpy\\lib\\_arraysetops_impl.py:291\u001b[39m, in \u001b[36munique\u001b[39m\u001b[34m(ar, return_index, return_inverse, return_counts, axis, equal_nan)\u001b[39m\n\u001b[32m 289\u001b[39m ar = np.asanyarray(ar)\n\u001b[32m 290\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m axis \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m291\u001b[39m ret = \u001b[43m_unique1d\u001b[49m\u001b[43m(\u001b[49m\u001b[43mar\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mreturn_index\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mreturn_inverse\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mreturn_counts\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[32m 292\u001b[39m \u001b[43m \u001b[49m\u001b[43mequal_nan\u001b[49m\u001b[43m=\u001b[49m\u001b[43mequal_nan\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minverse_shape\u001b[49m\u001b[43m=\u001b[49m\u001b[43mar\u001b[49m\u001b[43m.\u001b[49m\u001b[43mshape\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[32m 293\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m _unpack_tuple(ret)\n\u001b[32m 295\u001b[39m \u001b[38;5;66;03m# axis was specified and not None\u001b[39;00m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Roaming\\Python\\Python313\\site-packages\\numpy\\lib\\_arraysetops_impl.py:358\u001b[39m, in \u001b[36m_unique1d\u001b[39m\u001b[34m(ar, return_index, return_inverse, return_counts, equal_nan, inverse_shape, axis)\u001b[39m\n\u001b[32m 356\u001b[39m aux = ar[perm]\n\u001b[32m 357\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m358\u001b[39m \u001b[43mar\u001b[49m\u001b[43m.\u001b[49m\u001b[43msort\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 359\u001b[39m aux = ar\n\u001b[32m 360\u001b[39m mask = np.empty(aux.shape, dtype=np.bool)\n", + "\u001b[31mKeyboardInterrupt\u001b[39m: " + ] + }, + { + "data": { + "text/plain": [ + "
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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def ex(experiment):\n", + "\n", + " results_dir = os.path.join('results', os.path.join(results_main_dir, experiment.title))\n", + " os.makedirs(results_dir, exist_ok=True)\n", + "\n", + " di = DataInterface(SyntheticDataLoader(experiment.p, experiment.n, experiment.d, experiment.g, random_seed))\n", + " di.split_data(val_size=0.2, test_size=0.3)\n", + " data = di.get_data()\n", + " X_train, y_train = data['train_data'], data['train_labels']\n", + " X_valid, y_valid = data['val_data'], data['val_labels']\n", + " X_test, y_test = data['test_data'], data['test_labels']\n", + "\n", + " scaler = StandardScaler()\n", + " scaler.fit(X_train)\n", + " X_train = scaler.transform(X_train)\n", + " X_test = scaler.transform(X_test)\n", + "\n", + " model = LogisticRegression(penalty=None)\n", + " model.fit(X_train, y_train)\n", + " test_model(model, X_test, y_test, os.path.join(results_dir, 'sklearn_metrics.txt'), False)\n", + "\n", + " model_ccd = LogRegCCD(verbose=False)\n", + " model_ccd.fit(X_train, y_train, experiment.eps, experiment.lam_max, experiment.lam_count, experiment.k_fold)\n", + " test_model(model_ccd, X_test, y_test, os.path.join(results_dir, 'logregccd_metrics.txt'))\n", + "\n", + " fig = model_ccd.plot(X_valid, y_valid, measure=aucroc)\n", + " fig.savefig(os.path.join(results_dir, 'logregccd_aucroc.pdf'), format='pdf', bbox_inches='tight')\n", + " plt.close(fig)\n", + " model_ccd.validate(X_valid, y_valid, measure=aucroc)\n", + " test_model(model_ccd, X_test, y_test, os.path.join(results_dir, 'logregccd_aucroc_metrics.txt'))\n", + "\n", + " fig = model_ccd.plot(X_valid, y_valid, measure=ba)\n", + " fig.savefig(os.path.join(results_dir, 'logregccd_ba.pdf'), format='pdf', bbox_inches='tight')\n", + " plt.close(fig)\n", + " model_ccd.validate(X_valid, y_valid, measure=ba)\n", + " test_model(model_ccd, X_test, y_test, os.path.join(results_dir, 'logregccd_ba_metrics.txt'))\n", + "\n", + "for idx, exp in enumerate(experiments):\n", + " ex(exp)\n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Data loading" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "di = DataInterface(SyntheticDataLoader(experiment.p, experiment.n, experiment.d, experiment.g, random_seed))\n", + "di.split_data(val_size=0.2, test_size=0.3)\n", + "data = di.get_data()\n", + "X_train, y_train = data['train_data'], data['train_labels']\n", + "X_valid, y_valid = data['val_data'], data['val_labels']\n", + "X_test, y_test = data['test_data'], data['test_labels']\n", + "\n", + "scaler = StandardScaler()\n", + "scaler.fit(X_train)\n", + "X_train = scaler.transform(X_train)\n", + "X_test = scaler.transform(X_test)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## LogisticRegression" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Coefficients: [ 0.04895156 3.33080161 -1.20351234 -0.82914132 -0.42978342 0.029961\n", + " 0.18916221 0.38800177 -0.26289354 -0.22108733 0.21599341]\n", + "\n", + "\u001b[96m\u001b[4mAUC ROC\u001b[0m: 0.8727030033370411\n", + "\n", + "\u001b[96m\u001b[4mBalanced accuracy\u001b[0m: 0.7769744160177976\n", + "\n", + "Accuracy: 0.7767\n", + "\n", + "Classification Report:\n", + " precision recall f1-score support\n", + "\n", + " 0 0.79 0.77 0.78 155\n", + " 1 0.76 0.79 0.77 145\n", + "\n", + " accuracy 0.78 300\n", + " macro avg 0.78 0.78 0.78 300\n", + "weighted avg 0.78 0.78 0.78 300\n", + "\n", + "\n", + "Confusion Matrix:\n" + ] + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "model = LogisticRegression(penalty=None)\n", + "model.fit(X_train, y_train)\n", + "test_model(model, X_test, y_test, False, os.path.join(results_dir, 'sklearn_metrics.txt'))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## LogRegCCD" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Coefficients: [ 2625.14124881 56447.47855649 0. -3258.29301875\n", + " -0. -0. 0. 0.\n", + " -0. 0. 0. ]\n", + "\n", + "\u001b[96m\u001b[4mAUC ROC\u001b[0m: 0.7406006674082314\n", + "\n", + "\u001b[96m\u001b[4mBalanced accuracy\u001b[0m: 0.7406006674082313\n", + "\n", + "Accuracy: 0.7400\n", + "\n", + "Classification Report:\n", + " precision recall f1-score support\n", + "\n", + " 0 0.76 0.72 0.74 155\n", + " 1 0.72 0.76 0.74 145\n", + "\n", + " accuracy 0.74 300\n", + " macro avg 0.74 0.74 0.74 300\n", + "weighted avg 0.74 0.74 0.74 300\n", + "\n", + "\n", + "Confusion Matrix:\n" + ] + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "model_ccd = LogRegCCD(verbose=False)\n", + "model_ccd.fit(X_train, y_train, experiment.eps, experiment.lam_max, experiment.lam_count, experiment.k_fold)\n", + "test_model(model_ccd, X_test, y_test, os.path.join(results_dir, 'logregccd_metrics.txt'))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### AUC ROC" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Coefficients: [0.01428908 0.03017683 0. 0. 0. 0.\n", + " 0. 0. 0. 0. 0. ]\n", + "\n", + "\u001b[96m\u001b[4mAUC ROC\u001b[0m: 0.7998665183537264\n", + "\n", + "\u001b[96m\u001b[4mBalanced accuracy\u001b[0m: 0.6983314794215796\n", + "\n", + "Accuracy: 0.6933\n", + "\n", + "Classification Report:\n", + " precision recall f1-score support\n", + "\n", + " 0 0.79 0.55 0.65 155\n", + " 1 0.64 0.85 0.73 145\n", + "\n", + " accuracy 0.69 300\n", + " macro avg 0.72 0.70 0.69 300\n", + "weighted avg 0.72 0.69 0.69 300\n", + "\n", + "\n", + "Confusion Matrix:\n" + ] + }, + { + "data": { + "image/png": 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yOLMn2AMAjGAZHOwp4wMA4HFk9gAAI1gGZ/YEewCAEWzbpzcn97sVZXwAADyOzB4AYASL59kDAOBtlsF99pTxAQDwODJ7AIARbIMH6BHsAQBGsAwu4xPsAQBGsA3O7OmzBwDA48jsAQBGsB2W8d2c2RPsAQBGsHXAdna/W1HGBwDA48jsAQBGsMSn/3Nyv1sR7AEARrAZjQ8AALyKzB4AYATL9omPRXUAAPAu23Y4Gt/Fw/Ep4wMA4HFk9gAAI9gGD9Aj2AMAjGAT7AEA8DbL4AF69NkDAOBxZPYAACPYBo/GJ9gDAAwK9j5H97sVZXwAADyOzB4AYASb0fgAABjwPHtxdr9bUcYHAMDjyOwBAEawKeMDAOBxtrl1fII9AMAMtrPMXt3vVvTZAwDgcWT2AAAj2KygBwCAt9kGD9CjjA8AgMeR2QMAzGD7nA2yc3FmT7AHABjBNrjPnjI+AAAeR2YPADCDzaI6AAB4mm3waPwSBfu5c+eW+AVvuOEGJ+0BAMAT/H6/jBo1St58803Zu3ev1K5dW+6880555JFHxOc7/sXBtm0ZOXKkTJ8+XbKzs+Wyyy6TqVOnynnnnVf2wb5r164lejHVePXhAAAol+yye6vHH39cB+7XX39dfv/738vKlSulZ8+ekpqaKv3799fXTJw4USZPnqyvadCggQwfPlw6duwo33//vSQmJpZtsLcsK2JvCACAm8v4ubm5IccTEhL0drKlS5dKly5d5Prrr9f79evXl7feektWrFjxy+vZMmnSJJ3pq+uUGTNmSM2aNWXOnDnSrVs3KRej8QsKCiLWEAAAymSAnu1gE5GMjAydnQe2CRMmnPbtLr30Ulm4cKFs2rRJ73/77beyZMkSue666/R+VlaWLu936NAheI96vbZt28qyZcuiO0BPlenHjx8v06ZNk3379ukP0bBhQ116UN9aevXqFdEGAgBQnuzYsUNSUlKC+6fL6pWhQ4fqKkCTJk0kNjZWx89x48ZJ9+7d9XkV6BWVyZ9I7QfORS2zVw197bXXdD9DfHx88PgFF1wgL730UkQbBwBA5PgisIkO9CduZwr27777rsycOVNmzZolq1ev1v3yTz75pP5Z1sIO9qo/4cUXX9TfTNQ3lYAWLVrIhg0bIt0+AADKVRm/pB588EGd3au+9+bNm8vtt98ugwYNCpb909PT9U9VJT+R2g+ci1qw37VrlzRq1Oi0g/iKi4sj1S4AAFztyJEjEhMTGmZVkhwY9K5G36ugrvr1A1TZf/ny5ZKZmRndPvtmzZrJF198IfXq1Qs5/t5770mrVq0i2TYAAFy7gl7nzp1113fdunX11LtvvvlGnn76abnrrruC09UHDhwoY8eO1fPqA1Pv1Hz8kk55L7VgP2LECOnRo4fO8NW3kw8++EA2btyoy/vz5s2LaOMAAHDrU++effZZHbzvvfde2b9/vw7i//znP3UcDRgyZIjk5+fL3XffrRfVufzyy2X+/PkRnWOv+Gw10S9MKrMfM2aMnkaQl5cnF110kW78NddcI2VJlTvUNIVGbwyV2IqR/YcByoviLZWj3QSg1FgFBfLjyIclJycnZIR7acSKjCmjJSbp7GOFdbRAdtw3slTbWq7Wxv/jH/8oCxYsiHxrAAAoJbbBj7g96wfhqGX/1q9fH+zHb926dSTbBQBAZNk89a7Edu7cKbfeeqt8+eWXUqVKFX1M9TOolYLefvttqVOnTmm0EwAAlNXUu3/84x96ip3K6g8dOqQ39bsarKfOAQBQrgfo2Q42UzL7zz//XC/u37hx4+Ax9bsadaj68gEAKI989vHNyf3GBHv1AIDTLZ6j1vxV0woAACiXbHP77MMu4z/xxBPSr18/PUAvQP0+YMAAveYvAABwYWaflpamV/oJUAsAqEfwxcUdv/3YsWP6d7UqUKRX/QEAwI2L6rgu2E+aNKn0WwIAQGmyzS3jlyjYq+VxAQCAYYvqKAUFBVJUVBRyzG1LCAIADGGbm9mHPUBP9df37dtXatSoIcnJybo//8QNAIByyS7b59m7OtirJ/QsWrRIpk6dKgkJCfLSSy/J6NGj9bQ79eQ7AADg8jL+hx9+qIN6u3btpGfPnnohnUaNGunn28+cOVO6d+9eOi0FAMAJ29zR+GFn9mp53IYNGwb759W+op7Bu3jx4si3EACACK6g53OwGRPsVaDPysrSvzdp0kTefffdYMYfeDAOAABwcbBXpftvv/1W/z506FCZMmWKJCYmyqBBg+TBBx8sjTYCAOCcbe4AvbD77FVQD+jQoYNs2LBBVq1apfvtL7zwwki3DwAARHOevaIG5qkNAIDyzOfwyXU+rwf7yZMnl/gF+/fv76Q9AAAgGsH+mWeeKdGLqYflRCPY17l9vcT5KpT5+wJl4ZPda6LdBKDU5B62JG1kGb2Zbe7UuxIF+8DoewAAXMtmuVwAAOBRjgfoAQDgCra5mT3BHgBgBJ/DVfCMWkEPAAC4C5k9AMAMtrll/LPK7L/44gu57bbbJDMzU3bt2qWPvfHGG7JkyZJItw8AgMiwzV0uN+xg//7770vHjh0lKSlJvvnmGyksLNTHc3JyZPz48aXRRgAAUJbBfuzYsTJt2jSZPn26VKjw34VsLrvsMlm9erWTtgAAUGp8Bj/iNuw++40bN8oVV1xxyvHU1FTJzs6OVLsAAIgs29wV9MLO7NPT02XLli2nHFf99epZ9wAAlEs2ffYl1rt3bxkwYIAsX75cr4W/e/dumTlzpjzwwAPSp0+f0mklAAAouzL+0KFDxbIsueqqq+TIkSO6pJ+QkKCDfb9+/c6+JQAAlCKfwYvqhB3sVTb/8MMPy4MPPqjL+Xl5edKsWTOpVKlS6bQQAIBIsM2dZ3/Wi+rEx8frIA8AADwW7Nu3b6+z+zNZtGiR0zYBABB5tsNSvEmZfcuWLUP2i4uLZc2aNfLdd99Jjx49Itk2AAAix6aMX2LPPPPMaY+PGjVK998DAACPPvVOrZX/yiuvROrlAACILNvcefYRe+rdsmXLJDExMVIvBwBARPmYeldyN954Y8i+bduyZ88eWblypQwfPjySbQMAANEI9moN/BPFxMRI48aNZcyYMXLNNddEok0AACBawd7v90vPnj2lefPmkpaWFsl2AABQumxzR+OHNUAvNjZWZ+883Q4A4DY+gx9xG/Zo/AsuuEC2bt1aOq0BAADRD/Zjx47VD72ZN2+eHpiXm5sbsgEAUG7Z5k27C6vPXg3Au//++6VTp056/4YbbghZNleNylf7ql8fAIByxza3z77EwX706NFyzz33yKefflq6LQIAANEJ9ipzV6688srItgAAgDLgY1Gdkvm1p90BAFCu2ZTxS+T888//zYB/6NAhp20CAAARFFawV/32J6+gBwCAG/go45dMt27dpEaNGqXXGgAASottbhm/xPPs6a8HAMCQ0fgAALiSbW5mX+Jgb1lW6bYEAIBS5KPPHgAAj7PNzezDXhsfAAC4C5k9AMAMtrmZPcEeAGAEn8F99pTxAQDwOII9AMAMdgS2MO3atUtuu+02qVatmiQlJUnz5s1l5cqV/22SbcuIESOkVq1a+nyHDh1k8+bNkf3cBHsAgGllfJ+DLRw///yzXHbZZVKhQgX5+OOP5fvvv5ennnpK0tLSgtdMnDhRJk+eLNOmTZPly5dLcnKydOzYUQoKCiL62emzBwCgFDz++OOSkZEhr776avBYgwYNQrL6SZMmySOPPCJdunTRx2bMmCE1a9aUOXPm6CXqI4XMHgBgBjsyZfzc3NyQrbCw8LRvN3fuXGnTpo389a9/1c+VadWqlUyfPj14PisrS/bu3atL9wHqYXNt27aVZcuWRfSjE+wBAGawIxPsVbaugnJgmzBhwmnfbuvWrTJ16lQ577zz5JNPPpE+ffpI//795fXXX9fnVaBXVCZ/IrUfOBcplPEBAAjDjh07JCUlJbifkJBwxmXmVWY/fvx4va8y+++++073z/fo0UPKEpk9AMAIvghsigr0J25nCvZqhH2zZs1CjjVt2lS2b9+uf09PT9c/9+3bF3KN2g+cixSCPQDADHbZTr1TI/E3btwYcmzTpk1Sr1694GA9FdQXLlwYPK/GAKhR+ZmZmRJJlPEBAEbwlfEKeoMGDZJLL71Ul/FvueUWWbFihbz44ot606/n88nAgQNl7Nixul9fBf/hw4dL7dq1pWvXrhJJBHsAAErBxRdfLLNnz5Zhw4bJmDFjdDBXU+26d+8evGbIkCGSn58vd999t2RnZ8vll18u8+fPl8TExIi2hWAPADCDXfYPwvnzn/+stzNR2b36IqC20kSwBwCYwxYjMUAPAACPI7MHABjBZ/Ajbgn2AAAz2GXfZ19eUMYHAMDjyOwBAEbwUcYHAMDjbMr4AADAo8jsAQBG8FHGBwDA42xzy/gEewCAGWxzgz199gAAeByZPQDACD767AEA8DibMj4AAPAoMnsAgBF8tq03J/e7FcEeAGAGmzI+AADwKDJ7AIARfIzGBwDA42zK+AAAwKPI7AEARvBRxgcAwONsc8v4BHsAgBF8Bmf29NkDAOBxZPYAADPYlPEBAPA8n4sDthOU8QEA8DgyewCAGWz7+Obkfpci2AMAjOBjND4AAPAqMnsAgBlsRuMDAOBpPuv45uR+t6KMDwCAx5HZ4xR/67tPLuuUIxmNCqWoIEa+X1lRXh5XS3b+kKjPV65yTG5/YK9cdGWe1KhdJDmH4mTp/FR5fWK6HDkcG+3mA6dY+1Wy/Ov5GrJ5bUU5tK+CjHw5Sy69LkefO1Ys8trjteTrRSmyZ1u8JKdY0uqPh6XX/9st1dKPBV9jZI8G8sO6JMn+KU4qp/qPX/Nw6DUo52xzy/hk9jjFhZn58uFr1WXgn8+TYd0aSmycLePf2ioJSX59vmrNYqlW85hMH1NL/vmnxvLkwAxp0y5XBj+1I9pNB06r4EiMNPz9Uek7fucp5wqPxsiWtRXl7wP3yZRPNsmIl7Jk5w8JMvLOhiHXtbgsTx5+4Ud5+Yv18sj0LNn9Y4I82rtBGX4KRGo0vs/B5lZRzewXL14sTzzxhKxatUr27Nkjs2fPlq5du0azSRCRh7uH/pF7amBdefe7dXLehUflu+WVZNvGJHm0d/3g+T3bEnRmNOTZ7RITa4vl90Wh1cCZXfynw3o7HZXJP/bODyHH7hu3U/p3aiz7d1aQGnWK9bEb7z4QPF+zTrGugI2+q4GuDMRVKOUPgMiwzZ1nH9XMPj8/X1q0aCFTpkyJZjPwG5JTjmf0h7Njf/WaI3kxBHp4Qn5urPh8tiSnHv9//2S5P8fKog/SpFmbfAI9XCGqmf11112nt5IqLCzUW0Bubm4ptQwB6g/ePaN3yXcrKuqM/nRSqh7TJdCP36xW5u0DIq2owCcvj6st7br+LMmVQ4dfvzS2lsx9tboUHo2Vpq3zZczrW6PWToTPx6I67jBhwgRJTU0NbhkZGdFukuf1Hb9L6jUpkAl96p32fMVKfnl0RpZs35QobzyVXubtAyJJleTH/bO+HojV77FT+/f/2me/PP+fTTL+rS0SE2PLEwPqurmya+4APdvB5lKuCvbDhg2TnJyc4LZjBwPCSpPqt2x7da4Mufl3cnBP/Cnnk5L9Mm7WVjmaHyOje9UX/zFK+HB/oN+3K14mvP3DKVm9klrNL3V+Vyitr8yTYVO3yYqFqbJ+VcWotBfw7NS7hIQEvaG02XLfuF1y6bU58uDNjWTfjoTTZvQq0BcX+WTknQ2kuNBV3xuB0wb6XVkJMvG9LZJS9fR99Seyf/kuUFzE//tu4TO4jO+qYI+yK923/8vPMqpnAzmaFyNp5xwfjZx/OFbPu1eB/vhUPEsm9quv99Wm5PwUJ5ZFho/yRVWfdmf990vr3h3x8sN3SXrNCDWVVE2h27I2ScbM2KoHmR7af/xPY+UqfqkQb8uG1RVl45qKcsEl+VKpyjHZ82OCXleiVv1C3XcPl7DNHY1PsMcpOt/5k/755Aeh05HUfPoF71aVRs2PStPWR/Sx15ZtCLnmjkuayr6dp5b8gWja9G1FGXJzo+D+C6PO1T+vvuWQ3Hb/XvnqP6l6/96rm4Tcp7L8Fpfm6S+2X36cqselqDn7VWsUS5v2h+XhAdskPsG9AQDmiGqwz8vLky1btgT3s7KyZM2aNVK1alWpW7duNJtmtI61W/zq+f+/rNJvXgOUJypgf7J7zRnP/9o5pUHTApn4r9Avv3AfH2X86Fi5cqW0b98+uD948GD9s0ePHvLaa69FsWUAAM+xzV0uN6rBvl27dmK7uA8EAAA3oM8eAGAEH2V8AAA8zrKPb07udymCPQDADLa5ffasBgEAgMeR2QMAjOBz2O/u5uXCCPYAADPY5q6gRxkfAACPI7MHABjBx9Q7AAA8zmY0PgAA8CgyewCAEXy2rTcn97sVwR4AYAbrl83J/S5FGR8AAI8jswcAGMFHGR8AAI+zGY0PAIAZK+jZDraz9Nhjj4nP55OBAwcGjxUUFMh9990n1apVk0qVKslNN90k+/btk9JAsAcAoBR9/fXX8sILL8iFF14YcnzQoEHy4Ycfyr/+9S/5/PPPZffu3XLjjTeWShsI9gAAo1bQ8znYwpWXlyfdu3eX6dOnS1paWvB4Tk6OvPzyy/L000/Ln/70J2ndurW8+uqrsnTpUvnqq68i+8EJ9gAAY9iRKePn5uaGbIWFhWd8S1Wmv/7666VDhw4hx1etWiXFxcUhx5s0aSJ169aVZcuWRfyjE+wBAAhDRkaGpKamBrcJEyac9rq3335bVq9efdrze/fulfj4eKlSpUrI8Zo1a+pzkcZofACAEXzW8c3J/cqOHTskJSUleDwhIeGUa9U1AwYMkAULFkhiYqJEG5k9AMAMdmTK+CrQn7idLtirMv3+/fvloosukri4OL2pQXiTJ0/Wv6sMvqioSLKzs0PuU6Px09PTI/7RyewBAIiwq666StauXRtyrGfPnrpf/qGHHtJdARUqVJCFCxfqKXfKxo0bZfv27ZKZmRnp5hDsAQCGsMtuUZ3KlSvLBRdcEHIsOTlZz6kPHO/Vq5cMHjxYqlatqisE/fr104H+D3/4g0QawR4AYARfOVsu95lnnpGYmBid2asR/R07dpTnn39eSgPBHgCAMvDZZ5+F7KuBe1OmTNFbaSPYAwDMYDtb8tbRvVFGsAcAmMF2+Ex698Z6gj0AwAzlrc++LDHPHgAAjyOzBwAYNPXOdna/SxHsAQBmsM0doEcZHwAAjyOzBwCYwVKj7Bze71IEewCAEXyMxgcAAF5FZg8AMINt7gA9gj0AwAy2ucGeMj4AAB5HZg8AMINtbmZPsAcAmMFi6h0AAJ7mY+odAADwKjJ7AIAZbPrsAQDwNstWtXhn97sUZXwAADyOzB4AYAabMj4AAB5nOwzY7g32lPEBAPA4MnsAgBlsyvgAAHibpYI1o/EBAIAHkdkDAMxgW8c3J/e7FMEeAGAGmz57AAC8zaLPHgAAeBSZPQDADDZlfAAAvM12GLDdG+sp4wMA4HVk9gAAM9iU8QEA8DZLzZO3HN7vTpTxAQDwODJ7AIAZbMr4AAB4m21usKeMDwCAx5HZAwDMYJm7XC7BHgBgBNu29Obkfrci2AMAzGDbzrJz+uwBAEB5RWYPADCD7bDP3sWZPcEeAGAGyxLxOeh3d3GfPWV8AAA8jsweAGAGmzI+AACeZluW2D4zp95RxgcAwOPI7AEAZrAp4wMA4G2WLeIzM9hTxgcAwOPI7AEAZrBVZm4ZmdkT7AEARrAtW2wHZXybYA8AQDlnq6yeFfQAAIAHkdkDAIxgU8YHAMDjbHPL+K4O9oFvWcek2NE6CUB5lnvYvX9ggN+Sm2eVWdZ8zGGs0Pe7lKuD/eHDh/XPJfLvaDcFKDVp50e7BUDZ/D1PTU0tldeOj4+X9PR0WbLXeaxQr6Nez218tos7ISzLkt27d0vlypXF5/NFuzlGyM3NlYyMDNmxY4ekpKREuzlARPH/d9lTIUgF+tq1a0tMTOmNGS8oKJCioiLHr6MCfWJioriNqzN79T9GnTp1ot0MI6k/hPwxhFfx/3fZKq2M/kSJiYmuDNKRwtQ7AAA8jmAPAIDHEewRloSEBBk5cqT+CXgN/3/Dq1w9QA8AAPw2MnsAADyOYA8AgMcR7AEA8DiCPQAAHkewR4lNmTJF6tevrxemaNu2raxYsSLaTQIiYvHixdK5c2e9iptajXPOnDnRbhIQUQR7lMg777wjgwcP1tOSVq9eLS1atJCOHTvK/v37o900wLH8/Hz9/7T6Qgt4EVPvUCIqk7/44ovlueeeCz6XQK0h3q9fPxk6dGi0mwdEjMrsZ8+eLV27do12U4CIIbPHb1IPj1i1apV06NAh5LkEan/ZsmVRbRsA4LcR7PGbDh48KH6/X2rWrBlyXO3v3bs3au0CAJQMwR4AAI8j2OM3Va9eXWJjY2Xfvn0hx9V+enp61NoFACgZgj1+U3x8vLRu3VoWLlwYPKYG6Kn9zMzMqLYNAPDb4kpwDaCn3fXo0UPatGkjl1xyiUyaNElPV+rZs2e0mwY4lpeXJ1u2bAnuZ2VlyZo1a6Rq1apSt27dqLYNiASm3qHE1LS7J554Qg/Ka9mypUyePFlPyQPc7rPPPpP27dufclx9wX3ttdei0iYgkgj2AAB4HH32AAB4HMEeAACPI9gDAOBxBHsAADyOYA8AgMcR7AEA8DiCPQAAHkewBwDA4wj2gEN33nmndO3aNbjfrl07GThwYFRWgfP5fJKdnX3Ga9T5OXPmlPg1R40apVdLdOLHH3/U76uWnwUQHQR7eDYAqwCjNvUgn0aNGsmYMWPk2LFjpf7eH3zwgTz66KMRC9AA4BQPwoFnXXvttfLqq69KYWGh/Pvf/5b77rtPKlSoIMOGDTvl2qKiIv2lIBLUw1MAoDwhs4dnJSQkSHp6utSrV0/69OkjHTp0kLlz54aU3seNGye1a9eWxo0b6+M7duyQW265RapUqaKDdpcuXXQZOsDv9+snAKrz1apVkyFDhsjJj5c4uYyvvmw89NBDkpGRodukqgwvv/yyft3Aw1fS0tJ0hq/aFXiE8IQJE6RBgwaSlJQkLVq0kPfeey/kfdQXmPPPP1+fV69zYjtLSrVLvUbFihWlYcOGMnz4cCkuLj7luhdeeEG3X12n/n1ycnJCzr/00kvStGlTSUxMlCZNmsjzzz8fdlsAlB6CPYyhgqLK4AMWLlwoGzdulAULFsi8efN0kOvYsaNUrlxZvvjiC/nyyy+lUqVKukIQuO+pp57ST0F75ZVXZMmSJXLo0CGZPXv2r77vHXfcIW+99ZZ+SuD69et14FSvq4Ln+++/r69R7dizZ4/8z//8j95XgX7GjBkybdo0WbdunQwaNEhuu+02+fzzz4NfSm688Ubp3Lmz7gv/xz/+IUOHDg3730R9VvV5vv/+e/3e06dPl2eeeSbkGvXo13fffVc+/PBDmT9/vnzzzTdy7733Bs/PnDlTRowYob84qc83fvx4/aXh9ddfD7s9AEqJeuod4DU9evSwu3Tpon+3LMtesGCBnZCQYD/wwAPB8zVr1rQLCwuD97zxxht248aN9fUB6nxSUpL9ySef6P1atWrZEydODJ4vLi6269SpE3wv5corr7QHDBigf9+4caNK+/X7n86nn36qz//888/BYwUFBXbFihXtpUuXhlzbq1cv+9Zbb9W/Dxs2zG7WrFnI+YceeuiU1zqZOj979uwznn/iiSfs1q1bB/dHjhxpx8bG2jt37gwe+/jjj+2YmBh7z549ev93v/udPWvWrJDXefTRR+3MzEz9e1ZWln7fb7755ozvC6B00WcPz1LZusqgVcauyuJ///vf9ejygObNm4f003/77bc6i1XZ7okKCgrkhx9+0KVrlX23bds2eC4uLk7atGlzSik/QGXdsbGxcuWVV5a43aoNR44ckauvvjrkuKoutGrVSv+uMugT26FkZmZKuN5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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = model_ccd.plot(X_valid, y_valid, measure=aucroc)\n", + "fig.savefig(os.path.join(results_dir, 'logregccd_aucroc.pdf'), format='pdf', bbox_inches='tight')\n", + "plt.show(fig)\n", + "model_ccd.validate(X_valid, y_valid, measure=aucroc)\n", + "test_model(model_ccd, X_test, y_test, os.path.join(results_dir, 'logregccd_aucroc_metrics.txt'))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Balanced Accuracy" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "fig = model_ccd.plot(X_valid, y_valid, measure=ba)\n", + "fig.savefig(os.path.join(results_dir, 'logregccd_ba.pdf'), format='pdf', bbox_inches='tight')\n", + "plt.show(fig)\n", + "model_ccd.validate(X_valid, y_valid, measure=ba)\n", + "test_model(model_ccd, X_test, y_test, os.path.join(results_dir, 'logregccd_ba_metrics.txt'))" + ] + } + ], + 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index 0000000..8206d53 --- /dev/null +++ b/results/synthetic_data/Default/logregccd_aucroc_metrics.txt @@ -0,0 +1,30 @@ +================================================== +MODEL EVALUATION RESULTS +================================================== + +COEFFICIENTS: +[0.0265547 1.07827536 0.48434236 0. 0.21617361 0.17613676 + 0.06033601 0.21058108 0. 0.09924649 0.02375587] + +AUC-ROC SCORE: 0.7975 + +BALANCED ACCURACY: 0.7380 + +ACCURACY: 0.7367 + +CLASSIFICATION REPORT: + precision recall f1-score support + + 0 0.77 0.70 0.73 155 + 1 0.71 0.78 0.74 145 + + accuracy 0.74 300 + macro avg 0.74 0.74 0.74 300 +weighted avg 0.74 0.74 0.74 300 + + +CONFUSION MATRIX: +108 47 +32 113 + +================================================== diff --git a/results/synthetic_data/Default/logregccd_aucroc_metrics_confusion_matrix.pdf b/results/synthetic_data/Default/logregccd_aucroc_metrics_confusion_matrix.pdf new file mode 100644 index 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HcmV?d00001 diff --git a/results/synthetic_data/Few samples/logregccd_metrics.txt b/results/synthetic_data/Few samples/logregccd_metrics.txt new file mode 100644 index 0000000..535d80b --- /dev/null +++ b/results/synthetic_data/Few samples/logregccd_metrics.txt @@ -0,0 +1,30 @@ +================================================== +MODEL EVALUATION RESULTS +================================================== + +COEFFICIENTS: +[-0.25081857 1.28755959 -0.00674015 1.04153454 -0.34856187 0. + -0.13689287 -0.3472728 0.20952524 0.06953906 0.67458427] + +AUC-ROC SCORE: 0.6741 + +BALANCED ACCURACY: 0.5938 + +ACCURACY: 0.6000 + +CLASSIFICATION REPORT: + precision recall f1-score support + + 0 0.61 0.69 0.65 16 + 1 0.58 0.50 0.54 14 + + accuracy 0.60 30 + macro avg 0.60 0.59 0.59 30 +weighted avg 0.60 0.60 0.60 30 + + +CONFUSION MATRIX: +11 5 +7 7 + +================================================== diff --git a/results/synthetic_data/Few samples/logregccd_metrics_confusion_matrix.pdf 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1.22030581e-01 1.13306997e-02 0.00000000e+00 + -0.00000000e+00 1.93301314e-01 5.27043149e-02 0.00000000e+00 + 0.00000000e+00 -4.70029788e-02 -1.56650646e-02 3.48788932e-02 + 0.00000000e+00 1.66627477e-01 -6.52287735e-03 0.00000000e+00 + 0.00000000e+00 -0.00000000e+00 -6.35977343e-02 7.62675843e-02 + 1.84585565e-02 -1.73827663e-01 3.88358916e-02 3.66035934e-02 + -0.00000000e+00 -1.14160904e-01 -2.78560677e-02 0.00000000e+00 + 1.19746848e-02 5.25468039e-02 5.25689751e-02 -0.00000000e+00 + 0.00000000e+00 -1.21306746e-01 -0.00000000e+00 0.00000000e+00 + -0.00000000e+00 0.00000000e+00 -1.33589252e-02 -0.00000000e+00 + 0.00000000e+00 1.38094369e-01 0.00000000e+00 -0.00000000e+00 + -0.00000000e+00 1.00415095e-01 1.28853665e-01 -0.00000000e+00 + 4.75976370e-02 -0.00000000e+00 1.48193662e-01 1.22342576e-01 + -0.00000000e+00 0.00000000e+00 -0.00000000e+00 1.34477556e-01 + -0.00000000e+00 -0.00000000e+00 0.00000000e+00 2.71025714e-03 + 0.00000000e+00 -1.36664369e-01 0.00000000e+00 5.91548832e-02 + 1.77304213e-02 5.87461606e-03 -9.44174739e-02 -0.00000000e+00 + -9.61825282e-02 0.00000000e+00 0.00000000e+00 6.69075543e-03 + 0.00000000e+00 -0.00000000e+00 -1.30768411e-04 0.00000000e+00 + 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 + -8.44880223e-02 -0.00000000e+00 6.62971431e-03 -0.00000000e+00 + 2.07755757e-02] + +AUC-ROC SCORE: 0.7763 + +BALANCED ACCURACY: 0.6909 + +ACCURACY: 0.6900 + +CLASSIFICATION REPORT: + precision recall f1-score support + + 0 0.72 0.66 0.69 155 + 1 0.67 0.72 0.69 145 + + accuracy 0.69 300 + macro avg 0.69 0.69 0.69 300 +weighted avg 0.69 0.69 0.69 300 + + +CONFUSION MATRIX: +103 52 +41 104 + +================================================== diff --git a/results/synthetic_data/Lots of features/logregccd_metrics_confusion_matrix.pdf b/results/synthetic_data/Lots of features/logregccd_metrics_confusion_matrix.pdf new file mode 100644 index 0000000000000000000000000000000000000000..2189d8192042c2d28f3415561ee87d609fe0d191 GIT binary patch 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2.08105482e-01 -8.13803228e-02 + 5.62414608e-02 -8.97196568e-02 -1.24088966e-01 2.08629810e-01 + 2.23691324e-02 2.53209780e-01 -3.63379772e-02 -1.71584051e-02 + -2.57354322e-02 -2.47985184e-02 -2.00540489e-01 2.48234863e-01 + 1.42948207e-01 -4.05968221e-01 1.88151438e-01 1.12368116e-01 + -5.78144285e-02 -2.64509615e-01 -1.57228965e-01 3.45109951e-02 + 8.57101438e-02 2.37572296e-01 2.34132970e-01 -4.30609019e-02 + 6.48256089e-02 -2.63142111e-01 -1.09827926e-02 2.75831756e-03 + 4.40377385e-02 7.91295386e-02 -9.93629093e-02 -5.83026072e-02 + 1.47528391e-03 3.28161696e-01 1.45146893e-02 -1.14786050e-01 + -4.01258542e-02 2.13103202e-01 2.83892355e-01 -6.96407022e-02 + 1.44869212e-01 -1.10720109e-01 2.88336143e-01 2.66766349e-01 + -3.82330264e-02 5.39923017e-02 -7.71473541e-02 3.37248191e-01 + 3.89931886e-03 7.30597263e-03 1.45741013e-02 4.55813363e-02 + 2.56612436e-02 -2.58595468e-01 2.93153445e-02 2.05765812e-01 + 1.34741445e-01 1.59733694e-02 -2.87480950e-01 -3.90291492e-02 + -1.88493339e-01 6.73237427e-02 3.09566920e-02 8.92066843e-02 + 9.82210702e-03 -5.83350846e-02 -1.08078448e-01 -3.68187935e-02 + -2.20631495e-02 9.13974740e-03 1.26500453e-01 1.07402060e-01 + -1.87399663e-01 -6.58984400e-02 1.53515396e-01 -2.72763253e-02 + 9.90958570e-02] + +AUC-ROC SCORE: 0.7519 + +BALANCED ACCURACY: 0.6610 + +ACCURACY: 0.6600 + +CLASSIFICATION REPORT: + precision recall f1-score support + + 0 0.69 0.63 0.66 155 + 1 0.64 0.69 0.66 145 + + accuracy 0.66 300 + macro avg 0.66 0.66 0.66 300 +weighted avg 0.66 0.66 0.66 300 + + +CONFUSION MATRIX: +98 57 +45 100 + +================================================== diff --git a/results/synthetic_data/Lots of features/sklearn_metrics_confusion_matrix.pdf b/results/synthetic_data/Lots of features/sklearn_metrics_confusion_matrix.pdf new file mode 100644 index 0000000000000000000000000000000000000000..29c0d5fe67bac218013aa487e8ea3880003dc4d5 GIT binary patch literal 12211 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--git a/results/synthetic_data/Lots of samples/logregccd_ba_metrics.txt b/results/synthetic_data/Lots of samples/logregccd_ba_metrics.txt new file mode 100644 index 0000000..30cb505 --- /dev/null +++ b/results/synthetic_data/Lots of samples/logregccd_ba_metrics.txt @@ -0,0 +1,30 @@ +================================================== +MODEL EVALUATION RESULTS +================================================== + +COEFFICIENTS: +[-0.02603837 0.93960069 0.28256547 0.16411094 0.07897321 0.04359533 + 0.04635691 0.01573958 0.02246098 0. 0. ] + +AUC-ROC SCORE: 0.7923 + +BALANCED ACCURACY: 0.7176 + +ACCURACY: 0.7177 + +CLASSIFICATION REPORT: + precision recall f1-score support + + 0 0.72 0.73 0.72 1516 + 1 0.72 0.71 0.71 1484 + + accuracy 0.72 3000 + macro avg 0.72 0.72 0.72 3000 +weighted avg 0.72 0.72 0.72 3000 + + +CONFUSION MATRIX: +1103 413 +434 1050 + +================================================== diff --git a/results/synthetic_data/Lots of 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correlation/logregccd_aucroc_metrics.txt new file mode 100644 index 0000000..9c63d8a --- /dev/null +++ b/results/synthetic_data/Moderate correlation/logregccd_aucroc_metrics.txt @@ -0,0 +1,30 @@ +================================================== +MODEL EVALUATION RESULTS +================================================== + +COEFFICIENTS: +[0.01935719 0.67026287 0.06444495 0. 0.049455 0. + 0. 0. 0. 0. 0. ] + +AUC-ROC SCORE: 0.7606 + +BALANCED ACCURACY: 0.6810 + +ACCURACY: 0.6800 + +CLASSIFICATION REPORT: + precision recall f1-score support + + 0 0.71 0.65 0.68 155 + 1 0.66 0.71 0.68 145 + + accuracy 0.68 300 + macro avg 0.68 0.68 0.68 300 +weighted avg 0.68 0.68 0.68 300 + + +CONFUSION MATRIX: +101 54 +42 103 + +================================================== diff --git a/results/synthetic_data/Moderate correlation/logregccd_aucroc_metrics_confusion_matrix.pdf b/results/synthetic_data/Moderate correlation/logregccd_aucroc_metrics_confusion_matrix.pdf new file mode 100644 index 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F{{x+*PPhO7 literal 0 HcmV?d00001 diff --git a/results/synthetic_data/Moderate correlation/logregccd_ba_metrics.txt b/results/synthetic_data/Moderate correlation/logregccd_ba_metrics.txt new file mode 100644 index 0000000..4f81014 --- /dev/null +++ b/results/synthetic_data/Moderate correlation/logregccd_ba_metrics.txt @@ -0,0 +1,31 @@ +================================================== +MODEL EVALUATION RESULTS +================================================== + +COEFFICIENTS: +[ 219.43915029 21214.75633254 4633.41584307 915.91210766 + 2398.28624986 -0. -6458.6704387 -6749.5058288 + -10690.72349114 -1895.88637867 -12019.62163546] + +AUC-ROC SCORE: 0.5962 + +BALANCED ACCURACY: 0.5942 + +ACCURACY: 0.5933 + +CLASSIFICATION REPORT: + precision recall f1-score support + + 0 0.62 0.57 0.59 155 + 1 0.57 0.62 0.60 145 + + accuracy 0.59 300 + macro avg 0.59 0.59 0.59 300 +weighted avg 0.60 0.59 0.59 300 + + +CONFUSION MATRIX: +88 67 +55 90 + +================================================== 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0000000..8923850 --- /dev/null +++ b/results/synthetic_data/Slightly imbalanced/logregccd_aucroc_metrics.txt @@ -0,0 +1,30 @@ +================================================== +MODEL EVALUATION RESULTS +================================================== + +COEFFICIENTS: +[-1.15516668 1.00386163 0.52155206 0.10521821 0.02315696 0.13648245 + 0.06691901 0.08005991 0.00759751 0. 0.15877376] + +AUC-ROC SCORE: 0.7991 + +BALANCED ACCURACY: 0.6329 + +ACCURACY: 0.7467 + +CLASSIFICATION REPORT: + precision recall f1-score support + + 0 0.80 0.87 0.84 221 + 1 0.53 0.39 0.45 79 + + accuracy 0.75 300 + macro avg 0.66 0.63 0.64 300 +weighted avg 0.73 0.75 0.73 300 + + +CONFUSION MATRIX: +193 28 +48 31 + +================================================== diff --git a/results/synthetic_data/Slightly imbalanced/logregccd_aucroc_metrics_confusion_matrix.pdf b/results/synthetic_data/Slightly imbalanced/logregccd_aucroc_metrics_confusion_matrix.pdf new file mode 100644 index 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imbalanced/logregccd_metrics.txt @@ -0,0 +1,30 @@ +================================================== +MODEL EVALUATION RESULTS +================================================== + +COEFFICIENTS: +[-1.15516668 1.00386163 0.52155206 0.10521821 0.02315696 0.13648245 + 0.06691901 0.08005991 0.00759751 0. 0.15877376] + +AUC-ROC SCORE: 0.7991 + +BALANCED ACCURACY: 0.6329 + +ACCURACY: 0.7467 + +CLASSIFICATION REPORT: + precision recall f1-score support + + 0 0.80 0.87 0.84 221 + 1 0.53 0.39 0.45 79 + + accuracy 0.75 300 + macro avg 0.66 0.63 0.64 300 +weighted avg 0.73 0.75 0.73 300 + + +CONFUSION MATRIX: +193 28 +48 31 + +================================================== diff --git a/results/synthetic_data/Slightly imbalanced/logregccd_metrics_confusion_matrix.pdf b/results/synthetic_data/Slightly imbalanced/logregccd_metrics_confusion_matrix.pdf new file mode 100644 index 0000000000000000000000000000000000000000..b6b33e9768d80964cdb949edbb7c071bb5b7c06c GIT binary patch literal 12516 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correlation/sklearn_metrics.txt b/results/synthetic_data/Strong correlation/sklearn_metrics.txt new file mode 100644 index 0000000..90f6229 --- /dev/null +++ b/results/synthetic_data/Strong correlation/sklearn_metrics.txt @@ -0,0 +1,30 @@ +================================================== +MODEL EVALUATION RESULTS +================================================== + +COEFFICIENTS: +[ 0.04895156 3.33080161 -1.20351234 -0.82914132 -0.42978342 0.029961 + 0.18916221 0.38800177 -0.26289354 -0.22108733 0.21599341] + +AUC-ROC SCORE: 0.8727 + +BALANCED ACCURACY: 0.7770 + +ACCURACY: 0.7767 + +CLASSIFICATION REPORT: + precision recall f1-score support + + 0 0.79 0.77 0.78 155 + 1 0.76 0.79 0.77 145 + + accuracy 0.78 300 + macro avg 0.78 0.78 0.78 300 +weighted avg 0.78 0.78 0.78 300 + + +CONFUSION MATRIX: +119 36 +31 114 + +================================================== diff --git a/results/synthetic_data/Strong correlation/sklearn_metrics_confusion_matrix.pdf 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zPH=vMVX&|(`_FI5SU6Dl4W>&3KJY(by2RP|f!Kc5x4P)r_>pwMvC41bVSsxx3x+5E z&U?URIAHlFE?6||e*Ff+!NJdOFgURN9Y%)ZmVfrcVTrTw!|B42)j#{;(ID{u9fqAP z8+hF8@$h)kEd1~!-C6hn37*xDfStV_1U!27x4Pt6GDINFUN<5d1mwTbK_twU7osj< zRzDEu|IT}GNC*P|e~t(C3^ None: """ From c92561639649be00b9315051115644235ab4f009 Mon Sep 17 00:00:00 2001 From: Weronika Gozdera Date: Sun, 30 Mar 2025 15:59:27 +0200 Subject: [PATCH 2/9] Forgot to save notebook --- notebooks/experiments/synthetic_data.ipynb | 405 ++++++++------------- 1 file changed, 156 insertions(+), 249 deletions(-) diff --git a/notebooks/experiments/synthetic_data.ipynb b/notebooks/experiments/synthetic_data.ipynb index 808f2f0..f5a0dc2 100644 --- a/notebooks/experiments/synthetic_data.ipynb +++ b/notebooks/experiments/synthetic_data.ipynb @@ -9,18 +9,9 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 24, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "c:\\Users\\weron\\Pulpit\\sem1\\aml\\projects\\proj1\\LogRegCCD\\notebooks\n", - "c:\\Users\\weron\\Pulpit\\sem1\\aml\\projects\\proj1\\LogRegCCD\n" - ] - } - ], + "outputs": [], "source": [ "import os\n", "if not os.path.exists(\"./notebooks\"):\n", @@ -51,7 +42,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 25, "metadata": {}, "outputs": [], "source": [ @@ -70,7 +61,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ @@ -89,7 +80,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 27, "metadata": {}, "outputs": [], "source": [ @@ -110,12 +101,12 @@ " results['auc_roc'] = aucroc(y, y_pred_proba)\n", " results['balanced_accuracy'] = ba(y, y_pred)\n", "\n", - " # print(f\"\\nCoefficients: {results['coefficients']}\")\n", - " # print(f\"\\n{color.CYAN}{color.UNDERLINE}{aucroc}{color.END}: {results['auc_roc']}\")\n", - " # print(f\"\\n{color.CYAN}{color.UNDERLINE}{ba}{color.END}: {results['balanced_accuracy']}\")\n", - " # print(f\"\\nAccuracy: {results['accuracy']:.4f}\")\n", - " # print(f\"\\nClassification Report:\\n{results['classification_report']}\")\n", - " # print(f\"\\nConfusion Matrix:\")\n", + " print(f\"\\nCoefficients: {results['coefficients']}\")\n", + " print(f\"\\n{color.CYAN}{color.UNDERLINE}{aucroc}{color.END}: {results['auc_roc']}\")\n", + " print(f\"\\n{color.CYAN}{color.UNDERLINE}{ba}{color.END}: {results['balanced_accuracy']}\")\n", + " print(f\"\\nAccuracy: {results['accuracy']:.4f}\")\n", + " print(f\"\\nClassification Report:\\n{results['classification_report']}\")\n", + " print(f\"\\nConfusion Matrix:\")\n", " plt.figure()\n", " disp = ConfusionMatrixDisplay(confusion_matrix=results['confusion_matrix'])\n", " disp.plot()\n", @@ -149,7 +140,7 @@ " plot_path = str(save_path).replace('.txt', '_confusion_matrix.pdf')\n", " plt.savefig(plot_path, format='pdf', bbox_inches='tight')\n", " \n", - " plt.close()" + " plt.show()" ] }, { @@ -161,7 +152,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 28, "metadata": {}, "outputs": [], "source": [ @@ -193,7 +184,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 29, "metadata": {}, "outputs": [], "source": [ @@ -204,7 +195,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 30, "metadata": {}, "outputs": [], "source": [ @@ -218,190 +209,49 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 31, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\weron\\AppData\\Roaming\\Python\\Python313\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", - " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", - "C:\\Users\\weron\\AppData\\Roaming\\Python\\Python313\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", - " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", - "C:\\Users\\weron\\AppData\\Roaming\\Python\\Python313\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", - " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", - "C:\\Users\\weron\\AppData\\Roaming\\Python\\Python313\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", - " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", - "C:\\Users\\weron\\AppData\\Roaming\\Python\\Python313\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", - " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", - "C:\\Users\\weron\\AppData\\Roaming\\Python\\Python313\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", - " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n" - ] - }, - { - "ename": "KeyboardInterrupt", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[31m---------------------------------------------------------------------------\u001b[39m", - "\u001b[31mKeyboardInterrupt\u001b[39m Traceback (most recent call last)", - "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[11]\u001b[39m\u001b[32m, line 39\u001b[39m\n\u001b[32m 36\u001b[39m test_model(model_ccd, X_test, y_test, os.path.join(results_dir, \u001b[33m'\u001b[39m\u001b[33mlogregccd_ba_metrics.txt\u001b[39m\u001b[33m'\u001b[39m))\n\u001b[32m 38\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m idx, exp \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(experiments):\n\u001b[32m---> \u001b[39m\u001b[32m39\u001b[39m \u001b[43mex\u001b[49m\u001b[43m(\u001b[49m\u001b[43mexp\u001b[49m\u001b[43m)\u001b[49m\n", - "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[11]\u001b[39m\u001b[32m, line 35\u001b[39m, in \u001b[36mex\u001b[39m\u001b[34m(experiment)\u001b[39m\n\u001b[32m 33\u001b[39m fig.savefig(os.path.join(results_dir, \u001b[33m'\u001b[39m\u001b[33mlogregccd_ba.pdf\u001b[39m\u001b[33m'\u001b[39m), \u001b[38;5;28mformat\u001b[39m=\u001b[33m'\u001b[39m\u001b[33mpdf\u001b[39m\u001b[33m'\u001b[39m, bbox_inches=\u001b[33m'\u001b[39m\u001b[33mtight\u001b[39m\u001b[33m'\u001b[39m)\n\u001b[32m 34\u001b[39m plt.close(fig)\n\u001b[32m---> \u001b[39m\u001b[32m35\u001b[39m \u001b[43mmodel_ccd\u001b[49m\u001b[43m.\u001b[49m\u001b[43mvalidate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX_valid\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my_valid\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmeasure\u001b[49m\u001b[43m=\u001b[49m\u001b[43mba\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 36\u001b[39m test_model(model_ccd, X_test, y_test, os.path.join(results_dir, \u001b[33m'\u001b[39m\u001b[33mlogregccd_ba_metrics.txt\u001b[39m\u001b[33m'\u001b[39m))\n", - "\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\weron\\Pulpit\\sem1\\aml\\projects\\proj1\\LogRegCCD\\src\\log_reg_ccd.py:129\u001b[39m, in \u001b[36mLogRegCCD.validate\u001b[39m\u001b[34m(self, X_valid, y_valid, measure)\u001b[39m\n\u001b[32m 126\u001b[39m max_measure_lam = -\u001b[32m1\u001b[39m\n\u001b[32m 128\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m idx, lam \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(\u001b[38;5;28mself\u001b[39m.lambdas):\n\u001b[32m--> \u001b[39m\u001b[32m129\u001b[39m value = \u001b[43mmeasure\u001b[49m\u001b[43m(\u001b[49m\u001b[43my_valid\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmethod\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX_valid\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbeta_idx\u001b[49m\u001b[43m=\u001b[49m\u001b[43midx\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 131\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m value > max_measure_value:\n\u001b[32m 132\u001b[39m max_measure_value = value\n", - "\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\weron\\Pulpit\\sem1\\aml\\projects\\proj1\\LogRegCCD\\src\\measures.py:62\u001b[39m, in \u001b[36mBalancedAccuracy.__call__\u001b[39m\u001b[34m(self, y_true, y_pred)\u001b[39m\n\u001b[32m 61\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m__call__\u001b[39m(\u001b[38;5;28mself\u001b[39m, y_true, y_pred):\n\u001b[32m---> \u001b[39m\u001b[32m62\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mbalanced_accuracy_score\u001b[49m\u001b[43m(\u001b[49m\u001b[43my_true\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my_pred\u001b[49m\u001b[43m)\u001b[49m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Roaming\\Python\\Python313\\site-packages\\sklearn\\utils\\_param_validation.py:216\u001b[39m, in \u001b[36mvalidate_params..decorator..wrapper\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m 210\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m 211\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m config_context(\n\u001b[32m 212\u001b[39m skip_parameter_validation=(\n\u001b[32m 213\u001b[39m prefer_skip_nested_validation \u001b[38;5;129;01mor\u001b[39;00m global_skip_validation\n\u001b[32m 214\u001b[39m )\n\u001b[32m 215\u001b[39m ):\n\u001b[32m--> \u001b[39m\u001b[32m216\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 217\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m InvalidParameterError \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[32m 218\u001b[39m \u001b[38;5;66;03m# When the function is just a wrapper around an estimator, we allow\u001b[39;00m\n\u001b[32m 219\u001b[39m \u001b[38;5;66;03m# the function to delegate validation to the estimator, but we replace\u001b[39;00m\n\u001b[32m 220\u001b[39m \u001b[38;5;66;03m# the name of the estimator by the name of the function in the error\u001b[39;00m\n\u001b[32m 221\u001b[39m \u001b[38;5;66;03m# message to avoid confusion.\u001b[39;00m\n\u001b[32m 222\u001b[39m msg = re.sub(\n\u001b[32m 223\u001b[39m \u001b[33mr\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mparameter of \u001b[39m\u001b[33m\\\u001b[39m\u001b[33mw+ must be\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 224\u001b[39m \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mparameter of \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfunc.\u001b[34m__qualname__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m must be\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 225\u001b[39m \u001b[38;5;28mstr\u001b[39m(e),\n\u001b[32m 226\u001b[39m )\n", - "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Roaming\\Python\\Python313\\site-packages\\sklearn\\metrics\\_classification.py:2520\u001b[39m, in \u001b[36mbalanced_accuracy_score\u001b[39m\u001b[34m(y_true, y_pred, sample_weight, adjusted)\u001b[39m\n\u001b[32m 2442\u001b[39m \u001b[38;5;129m@validate_params\u001b[39m(\n\u001b[32m 2443\u001b[39m {\n\u001b[32m 2444\u001b[39m \u001b[33m\"\u001b[39m\u001b[33my_true\u001b[39m\u001b[33m\"\u001b[39m: [\u001b[33m\"\u001b[39m\u001b[33marray-like\u001b[39m\u001b[33m\"\u001b[39m],\n\u001b[32m (...)\u001b[39m\u001b[32m 2450\u001b[39m )\n\u001b[32m 2451\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mbalanced_accuracy_score\u001b[39m(y_true, y_pred, *, sample_weight=\u001b[38;5;28;01mNone\u001b[39;00m, adjusted=\u001b[38;5;28;01mFalse\u001b[39;00m):\n\u001b[32m 2452\u001b[39m \u001b[38;5;250m \u001b[39m\u001b[33;03m\"\"\"Compute the balanced accuracy.\u001b[39;00m\n\u001b[32m 2453\u001b[39m \n\u001b[32m 2454\u001b[39m \u001b[33;03m The balanced accuracy in binary and multiclass classification problems to\u001b[39;00m\n\u001b[32m (...)\u001b[39m\u001b[32m 2518\u001b[39m \u001b[33;03m np.float64(0.625)\u001b[39;00m\n\u001b[32m 2519\u001b[39m \u001b[33;03m \"\"\"\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m2520\u001b[39m C = \u001b[43mconfusion_matrix\u001b[49m\u001b[43m(\u001b[49m\u001b[43my_true\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my_pred\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msample_weight\u001b[49m\u001b[43m=\u001b[49m\u001b[43msample_weight\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 2521\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m np.errstate(divide=\u001b[33m\"\u001b[39m\u001b[33mignore\u001b[39m\u001b[33m\"\u001b[39m, invalid=\u001b[33m\"\u001b[39m\u001b[33mignore\u001b[39m\u001b[33m\"\u001b[39m):\n\u001b[32m 2522\u001b[39m per_class = np.diag(C) / C.sum(axis=\u001b[32m1\u001b[39m)\n", - "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Roaming\\Python\\Python313\\site-packages\\sklearn\\utils\\_param_validation.py:189\u001b[39m, in \u001b[36mvalidate_params..decorator..wrapper\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m 187\u001b[39m global_skip_validation = get_config()[\u001b[33m\"\u001b[39m\u001b[33mskip_parameter_validation\u001b[39m\u001b[33m\"\u001b[39m]\n\u001b[32m 188\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m global_skip_validation:\n\u001b[32m--> \u001b[39m\u001b[32m189\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 191\u001b[39m func_sig = signature(func)\n\u001b[32m 193\u001b[39m \u001b[38;5;66;03m# Map *args/**kwargs to the function signature\u001b[39;00m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Roaming\\Python\\Python313\\site-packages\\sklearn\\metrics\\_classification.py:339\u001b[39m, in \u001b[36mconfusion_matrix\u001b[39m\u001b[34m(y_true, y_pred, labels, sample_weight, normalize)\u001b[39m\n\u001b[32m 244\u001b[39m \u001b[38;5;129m@validate_params\u001b[39m(\n\u001b[32m 245\u001b[39m {\n\u001b[32m 246\u001b[39m \u001b[33m\"\u001b[39m\u001b[33my_true\u001b[39m\u001b[33m\"\u001b[39m: [\u001b[33m\"\u001b[39m\u001b[33marray-like\u001b[39m\u001b[33m\"\u001b[39m],\n\u001b[32m (...)\u001b[39m\u001b[32m 255\u001b[39m y_true, y_pred, *, labels=\u001b[38;5;28;01mNone\u001b[39;00m, sample_weight=\u001b[38;5;28;01mNone\u001b[39;00m, normalize=\u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[32m 256\u001b[39m ):\n\u001b[32m 257\u001b[39m \u001b[38;5;250m \u001b[39m\u001b[33;03m\"\"\"Compute confusion matrix to evaluate the accuracy of a classification.\u001b[39;00m\n\u001b[32m 258\u001b[39m \n\u001b[32m 259\u001b[39m \u001b[33;03m By definition a confusion matrix :math:`C` is such that :math:`C_{i, j}`\u001b[39;00m\n\u001b[32m (...)\u001b[39m\u001b[32m 337\u001b[39m \u001b[33;03m (np.int64(0), np.int64(2), np.int64(1), np.int64(1))\u001b[39;00m\n\u001b[32m 338\u001b[39m \u001b[33;03m \"\"\"\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m339\u001b[39m y_true, y_pred = \u001b[43mattach_unique\u001b[49m\u001b[43m(\u001b[49m\u001b[43my_true\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my_pred\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 340\u001b[39m y_type, y_true, y_pred = _check_targets(y_true, y_pred)\n\u001b[32m 341\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m y_type \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m (\u001b[33m\"\u001b[39m\u001b[33mbinary\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mmulticlass\u001b[39m\u001b[33m\"\u001b[39m):\n", - "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Roaming\\Python\\Python313\\site-packages\\sklearn\\utils\\_unique.py:56\u001b[39m, in \u001b[36mattach_unique\u001b[39m\u001b[34m(return_tuple, *ys)\u001b[39m\n\u001b[32m 28\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mattach_unique\u001b[39m(*ys, return_tuple=\u001b[38;5;28;01mFalse\u001b[39;00m):\n\u001b[32m 29\u001b[39m \u001b[38;5;250m \u001b[39m\u001b[33;03m\"\"\"Attach unique values of ys to ys and return the results.\u001b[39;00m\n\u001b[32m 30\u001b[39m \n\u001b[32m 31\u001b[39m \u001b[33;03m The result is a view of y, and the metadata (unique) is not attached to y.\u001b[39;00m\n\u001b[32m (...)\u001b[39m\u001b[32m 54\u001b[39m \u001b[33;03m Input data with unique values attached.\u001b[39;00m\n\u001b[32m 55\u001b[39m \u001b[33;03m \"\"\"\u001b[39;00m\n\u001b[32m---> \u001b[39m\u001b[32m56\u001b[39m res = \u001b[38;5;28;43mtuple\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m_attach_unique\u001b[49m\u001b[43m(\u001b[49m\u001b[43my\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mys\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 57\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(res) == \u001b[32m1\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m return_tuple:\n\u001b[32m 58\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m res[\u001b[32m0\u001b[39m]\n", - "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Roaming\\Python\\Python313\\site-packages\\sklearn\\utils\\_unique.py:56\u001b[39m, in \u001b[36m\u001b[39m\u001b[34m(.0)\u001b[39m\n\u001b[32m 28\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mattach_unique\u001b[39m(*ys, return_tuple=\u001b[38;5;28;01mFalse\u001b[39;00m):\n\u001b[32m 29\u001b[39m \u001b[38;5;250m \u001b[39m\u001b[33;03m\"\"\"Attach unique values of ys to ys and return the results.\u001b[39;00m\n\u001b[32m 30\u001b[39m \n\u001b[32m 31\u001b[39m \u001b[33;03m The result is a view of y, and the metadata (unique) is not attached to y.\u001b[39;00m\n\u001b[32m (...)\u001b[39m\u001b[32m 54\u001b[39m \u001b[33;03m Input data with unique values attached.\u001b[39;00m\n\u001b[32m 55\u001b[39m \u001b[33;03m \"\"\"\u001b[39;00m\n\u001b[32m---> \u001b[39m\u001b[32m56\u001b[39m res = \u001b[38;5;28mtuple\u001b[39m(\u001b[43m_attach_unique\u001b[49m\u001b[43m(\u001b[49m\u001b[43my\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mfor\u001b[39;00m y \u001b[38;5;129;01min\u001b[39;00m ys)\n\u001b[32m 57\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(res) == \u001b[32m1\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m return_tuple:\n\u001b[32m 58\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m res[\u001b[32m0\u001b[39m]\n", - "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Roaming\\Python\\Python313\\site-packages\\sklearn\\utils\\_unique.py:23\u001b[39m, in \u001b[36m_attach_unique\u001b[39m\u001b[34m(y)\u001b[39m\n\u001b[32m 20\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m (\u001b[38;5;167;01mAttributeError\u001b[39;00m, \u001b[38;5;167;01mTypeError\u001b[39;00m):\n\u001b[32m 21\u001b[39m \u001b[38;5;28;01mpass\u001b[39;00m\n\u001b[32m---> \u001b[39m\u001b[32m23\u001b[39m unique = \u001b[43mnp\u001b[49m\u001b[43m.\u001b[49m\u001b[43munique\u001b[49m\u001b[43m(\u001b[49m\u001b[43my\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 24\u001b[39m unique_dtype = np.dtype(y.dtype, metadata={\u001b[33m\"\u001b[39m\u001b[33munique\u001b[39m\u001b[33m\"\u001b[39m: unique})\n\u001b[32m 25\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m y.view(dtype=unique_dtype)\n", - "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Roaming\\Python\\Python313\\site-packages\\numpy\\lib\\_arraysetops_impl.py:291\u001b[39m, in \u001b[36munique\u001b[39m\u001b[34m(ar, return_index, return_inverse, return_counts, axis, equal_nan)\u001b[39m\n\u001b[32m 289\u001b[39m ar = np.asanyarray(ar)\n\u001b[32m 290\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m axis \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m291\u001b[39m ret = \u001b[43m_unique1d\u001b[49m\u001b[43m(\u001b[49m\u001b[43mar\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mreturn_index\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mreturn_inverse\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mreturn_counts\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[32m 292\u001b[39m \u001b[43m \u001b[49m\u001b[43mequal_nan\u001b[49m\u001b[43m=\u001b[49m\u001b[43mequal_nan\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minverse_shape\u001b[49m\u001b[43m=\u001b[49m\u001b[43mar\u001b[49m\u001b[43m.\u001b[49m\u001b[43mshape\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[32m 293\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m _unpack_tuple(ret)\n\u001b[32m 295\u001b[39m \u001b[38;5;66;03m# axis was specified and not None\u001b[39;00m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Roaming\\Python\\Python313\\site-packages\\numpy\\lib\\_arraysetops_impl.py:358\u001b[39m, in \u001b[36m_unique1d\u001b[39m\u001b[34m(ar, return_index, return_inverse, return_counts, equal_nan, inverse_shape, axis)\u001b[39m\n\u001b[32m 356\u001b[39m aux = ar[perm]\n\u001b[32m 357\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m358\u001b[39m \u001b[43mar\u001b[49m\u001b[43m.\u001b[49m\u001b[43msort\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 359\u001b[39m aux = ar\n\u001b[32m 360\u001b[39m mask = np.empty(aux.shape, dtype=np.bool)\n", - "\u001b[31mKeyboardInterrupt\u001b[39m: " - ] - }, - { - "data": { - "text/plain": [ - "
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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "def ex(experiment):\n", + "# def ex(experiment):\n", "\n", - " results_dir = os.path.join('results', os.path.join(results_main_dir, experiment.title))\n", - " os.makedirs(results_dir, exist_ok=True)\n", + "# results_dir = os.path.join('results', os.path.join(results_main_dir, experiment.title))\n", + "# os.makedirs(results_dir, exist_ok=True)\n", "\n", - " di = DataInterface(SyntheticDataLoader(experiment.p, experiment.n, experiment.d, experiment.g, random_seed))\n", - " di.split_data(val_size=0.2, test_size=0.3)\n", - " data = di.get_data()\n", - " X_train, y_train = data['train_data'], data['train_labels']\n", - " X_valid, y_valid = data['val_data'], data['val_labels']\n", - " X_test, y_test = data['test_data'], data['test_labels']\n", + "# di = DataInterface(SyntheticDataLoader(experiment.p, experiment.n, experiment.d, experiment.g, random_seed))\n", + "# di.split_data(val_size=0.2, test_size=0.3)\n", + "# data = di.get_data()\n", + "# X_train, y_train = data['train_data'], data['train_labels']\n", + "# X_valid, y_valid = data['val_data'], data['val_labels']\n", + "# X_test, y_test = data['test_data'], data['test_labels']\n", "\n", - " scaler = StandardScaler()\n", - " scaler.fit(X_train)\n", - " X_train = scaler.transform(X_train)\n", - " X_test = scaler.transform(X_test)\n", + "# scaler = StandardScaler()\n", + "# scaler.fit(X_train)\n", + "# X_train = scaler.transform(X_train)\n", + "# X_test = scaler.transform(X_test)\n", "\n", - " model = LogisticRegression(penalty=None)\n", - " model.fit(X_train, y_train)\n", - " test_model(model, X_test, y_test, os.path.join(results_dir, 'sklearn_metrics.txt'), False)\n", + "# model = LogisticRegression(penalty=None)\n", + "# model.fit(X_train, y_train)\n", + "# test_model(model, X_test, y_test, os.path.join(results_dir, 'sklearn_metrics.txt'), False)\n", "\n", - " model_ccd = LogRegCCD(verbose=False)\n", - " model_ccd.fit(X_train, y_train, experiment.eps, experiment.lam_max, experiment.lam_count, experiment.k_fold)\n", - " test_model(model_ccd, X_test, y_test, os.path.join(results_dir, 'logregccd_metrics.txt'))\n", + "# model_ccd = LogRegCCD(verbose=False)\n", + "# model_ccd.fit(X_train, y_train, experiment.eps, experiment.lam_max, experiment.lam_count, experiment.k_fold)\n", + "# test_model(model_ccd, X_test, y_test, os.path.join(results_dir, 'logregccd_metrics.txt'))\n", "\n", - " fig = model_ccd.plot(X_valid, y_valid, measure=aucroc)\n", - " fig.savefig(os.path.join(results_dir, 'logregccd_aucroc.pdf'), format='pdf', bbox_inches='tight')\n", - " plt.close(fig)\n", - " model_ccd.validate(X_valid, y_valid, measure=aucroc)\n", - " test_model(model_ccd, X_test, y_test, os.path.join(results_dir, 'logregccd_aucroc_metrics.txt'))\n", + "# fig = model_ccd.plot(X_valid, y_valid, measure=aucroc)\n", + "# fig.savefig(os.path.join(results_dir, 'logregccd_aucroc.pdf'), format='pdf', bbox_inches='tight')\n", + "# plt.close(fig)\n", + "# model_ccd.validate(X_valid, y_valid, measure=aucroc)\n", + "# test_model(model_ccd, X_test, y_test, os.path.join(results_dir, 'logregccd_aucroc_metrics.txt'))\n", "\n", - " fig = model_ccd.plot(X_valid, y_valid, measure=ba)\n", - " fig.savefig(os.path.join(results_dir, 'logregccd_ba.pdf'), format='pdf', bbox_inches='tight')\n", - " plt.close(fig)\n", - " model_ccd.validate(X_valid, y_valid, measure=ba)\n", - " test_model(model_ccd, X_test, y_test, os.path.join(results_dir, 'logregccd_ba_metrics.txt'))\n", + "# fig = model_ccd.plot(X_valid, y_valid, measure=ba)\n", + "# fig.savefig(os.path.join(results_dir, 'logregccd_ba.pdf'), format='pdf', bbox_inches='tight')\n", + "# plt.close(fig)\n", + "# model_ccd.validate(X_valid, y_valid, measure=ba)\n", + "# test_model(model_ccd, X_test, y_test, os.path.join(results_dir, 'logregccd_ba_metrics.txt'))\n", "\n", - "for idx, exp in enumerate(experiments):\n", - " ex(exp)\n", + "# for idx, exp in enumerate(experiments):\n", + "# ex(exp)\n", " " ] }, @@ -414,7 +264,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 32, "metadata": {}, "outputs": [], "source": [ @@ -440,7 +290,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 33, "metadata": {}, "outputs": [ { @@ -448,24 +298,24 @@ "output_type": "stream", "text": [ "\n", - "Coefficients: [ 0.04895156 3.33080161 -1.20351234 -0.82914132 -0.42978342 0.029961\n", - " 0.18916221 0.38800177 -0.26289354 -0.22108733 0.21599341]\n", + "Coefficients: [0.04763053 1.31354926 0.63858186 0.05971532 0.34383042 0.29294876\n", + " 0.14197142 0.33835913 0.08775935 0.22523133 0.13661218]\n", "\n", - "\u001b[96m\u001b[4mAUC ROC\u001b[0m: 0.8727030033370411\n", + "\u001b[96m\u001b[4mAUC ROC\u001b[0m: 0.7958175750834261\n", "\n", - "\u001b[96m\u001b[4mBalanced accuracy\u001b[0m: 0.7769744160177976\n", + "\u001b[96m\u001b[4mBalanced accuracy\u001b[0m: 0.7382647385984427\n", "\n", - "Accuracy: 0.7767\n", + "Accuracy: 0.7367\n", "\n", "Classification Report:\n", " precision recall f1-score support\n", "\n", - " 0 0.79 0.77 0.78 155\n", - " 1 0.76 0.79 0.77 145\n", + " 0 0.78 0.69 0.73 155\n", + " 1 0.70 0.79 0.74 145\n", "\n", - " accuracy 0.78 300\n", - " macro avg 0.78 0.78 0.78 300\n", - "weighted avg 0.78 0.78 0.78 300\n", + " accuracy 0.74 300\n", + " macro avg 0.74 0.74 0.74 300\n", + "weighted avg 0.74 0.74 0.74 300\n", "\n", "\n", "Confusion Matrix:\n" @@ -482,7 +332,7 @@ }, { "data": { - "image/png": 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AW3DZuIzPrDYAACyOzB4AYAsuG2f2BHsAgC24bBzsKeMDAGBxZPYAAFtw2TizJ9gDAGzB8PHxuaAuN+sjgj0AwBZcNs7sGbMHAMDiyOwBALbgsnFmT7AHANiCy8bBnjI+AAAWR2YPALAFl40ze4I9AMAWDMOhmy/3mxVlfAAALI7MHgBgCy72swcAwNpcNh6zp4wPAECAHD9+XEaMGCGNGzeWmjVryjXXXCOff/65+7phGDJ+/HipX7++vp6WliY7d+70ez8I9gAAW03QM3xo3nrggQdk9erV8uqrr8r27dulW7duOqAfPHhQX3/uuedk1qxZMm/ePNm4caNERUVJenq6lJSU+PV3J9gDAGxVxnf50Lzx008/ydtvv60D+rXXXistWrSQiRMn6q9z587VWf3MmTPlySeflJ49e0qHDh1k8eLFkpubKytWrPDr706wBwDYguGnzL6wsNCjlZaWnvPnnTx5UpxOp0RGRnqcV+X6devWSXZ2tuTl5elMv0JcXJx07txZMjMz/fq7E+wBAPBCcnKyDsoVberUqed8XUxMjKSmpsrkyZN1tq4C/2uvvaYD+aFDh3SgVxISEjzuU8cV1/yF2fgAAFswfJyNX5HZ5+TkSGxsrPt8RETEee9RY/X333+/NGjQQEJDQ+Xyyy+Xu+++W7Zs2SJVicweAGALhg7YPrSf30cF+tPbrwX75s2by5o1a6SoqEh/SNi0aZOUl5dLs2bNJDExUb8mPz/f4x51XHHNXwj2AAAEmJplrx6vO3r0qHz44Yd6Ql7Tpk11UM/IyHC/Ts0BULPyVfnfnyjjAwBswSUO/Z8v93tLBXY1675169aya9cuefTRR6VNmzYyYMAAcTgc+hn8KVOmSMuWLXXwHzdunCQlJUmvXr3Enwj2AABbMIKwEc6xY8dk7NixcuDAAYmPj5c+ffrI008/LWFhYfr6mDFjpLi4WAYNGiQFBQXSpUsXWbVq1Vkz+H1FsAcAIEDuuusu3c5HZfeTJk3SLZAI9gAAW3AZDnHYdG18gj0AwBaMn2fV+3K/WTEbHwAAiyOzBwDYghGECXrVBcEeAGALBsEeAABrc9l4gh5j9gAAWByZPQDAFgwbz8Yn2AMAbBTsHT7db1aU8QEAsDgyewCALRjMxgcAwAb72Ytv95sVZXwAACyOzB4AYAsGZXwAACzOsG8dn2APALAHw7fMXt1vVozZAwBgcWT2AABbMFhBDwAAazNsPEGPMj4AABZHZg8AsAfD4dskOxNn9gR7AIAtGDYes6eMDwCAxZHZAwDswWBRHQAALM2w8Wz8SgX7d999t9JveNttt/nSHwAAEIxg36tXr0q9mcPhEKfT6WufAAAIDENsqVLB3uVyBb4nAAAEkGHjMr5Ps/FLSkr81xMAAKpigp7hQ7NLsFdl+smTJ0uDBg0kOjpa9uzZo8+PGzdOFixYEIg+AgCAqgz2Tz/9tCxatEiee+45CQ8Pd5+/9NJL5eWXX/alLwAABJDDD80mwX7x4sXyj3/8Q/r16yehoaHu8x07dpRvv/3W3/0DAMCUZXyn06mr3k2bNpWaNWtK8+bNdWXcOG0pPvX9+PHjpX79+vo1aWlpsnPnzuAH+4MHD0qLFi3OOYmvvLzcX/0CAMDUnn32WZk7d678/e9/lx07duhjVRV/8cUX3a9Rx7NmzZJ58+bJxo0bJSoqStLT0/0+J87rYN+uXTv59NNPzzr/1ltvyWWXXeavfgEAYOrMfv369dKzZ0+59dZbpUmTJnLHHXdIt27dZNOmTae6Yxgyc+ZMefLJJ/XrOnTooKvnubm5smLFiuCuoKfKDf3799cZvsrm33nnHcnKytIdfO+99/zaOQAAqtuud4WFhR6nIyIidDvTNddco4e9v/vuO2nVqpV8+eWXsm7dOpk+fbq+np2dLXl5ebp0XyEuLk46d+4smZmZ0rdvXwlaZq8+faxcuVL++9//6nKDCv6qPKHO3XTTTX7rGAAA1VFycrIOyhVt6tSp53zd448/rgN2mzZtJCwsTFe/R4wYoee8KSrQKwkJCR73qeOKa0FdG//3v/+9rF692q8dAQDADFvc5uTkSGxsrPv8ubJ65c0335QlS5bI0qVL5ZJLLpFt27bpYJ+UlKQr5KbYCGfz5s06o68Yx09JSfFnvwAAqJa73sXGxnoE+/N59NFH3dm90r59e9m3b5+uBKhgn5iYqM/n5+fr2fgV1HGnTp0kqMH+wIEDcvfdd8tnn30mtWvX1ucKCgr02MTrr78uDRs29GsHAQAwoxMnTkhIiOdouXpkvWIJevVIngr4GRkZ7uCu5gOoWfmDBw/2a1+8HrN/4IEH9CN2Kqs/cuSIbup71Xl1DQCAaj1Bz/CheaFHjx56Ibr3339f9u7dK8uXL9eT826//Xb35nGqrD9lyhS9u+z27dvlvvvu02X+ym5AF7DMfs2aNfpxgtatW7vPqe/Vc4NqLB8AgOrIYZxqvtzvDRUX1aI6f/nLX+Tw4cM6iP/P//yPntheYcyYMVJcXCyDBg3SVfIuXbrIqlWrJDIyUoIa7NUsxHMtnqNWClK/CAAAVh6zr6yYmBj9HL1q56Oy+0mTJukWSF6X8adNmybDhg3TE/QqqO+HDx8uzz//vL/7BwAAqiKzr1Onjv70UUGVHNRD/zVqnLr95MmT+vv777/f7+MMAABUp0V1LBvsf60EAQCAKRhVW8Y3XbCv6of/AQBANVhUR1G78pSVlXmcq8xCAwAAVDnDvpm91xP01Hj90KFDpV69enptfDWef3oDAKBaMqp21ztTB3v1TOBHH32k9+hV6wG//PLL8tRTT+nH7tTOdwAAwORlfLW7nQrq119/vQwYMEAvpNOiRQtp3LixXvC/YjcfAACqFcO+s/G9zuzV8rjNmjVzj8+rY0Wt+rN27Vr/9xAAAD+uoOfwodkm2KtAn52drb9Xe/SqLfwqMv6KjXEAAICJg70q3X/55Zf6e7V13+zZs/UaviNHjtTb+QEAUC0Z9p2g5/WYvQrqFdLS0uTbb7+VLVu26HH7Dh06+Lt/AAAgmM/ZK2pinmoAAFRnjgvYue7M+y0d7GfNmlXpN3z44Yd96Q8AAAhGsJ8xY0al3kxtlhOMYH97q/ZSwxFW5T8XqApz9v072F0AAqbouEsuv6SKfphh30fvKhXsK2bfAwBgWgbL5QIAAIvyeYIeAACmYNg3syfYAwBsweHjKni2WkEPAACYC5k9AMAeDPuW8S8os//000/lnnvukdTUVDl48KA+9+qrr8q6dev83T8AAPzDsO9yuV4H+7ffflvS09OlZs2a8sUXX0hpaak+f+zYMXnmmWcC0UcAAFCVwX7KlCkyb948mT9/voSF/bKQze9+9zvZunWrL30BACBgHDbe4tbrMfusrCy59tprzzofFxcnBQUF/uoXAAD+Zdh3BT2vM/vExETZtWvXWefVeL3a6x4AgGrJYMy+0h588EEZPny4bNy4Ua+Fn5ubK0uWLJHRo0fL4MGDA9NLAABQdWX8xx9/XFwul9x4441y4sQJXdKPiIjQwX7YsGEX3hMAAALIYeNFdbwO9iqbf+KJJ+TRRx/V5fyioiJp166dREdHB6aHAAD4g2Hf5+wveFGd8PBwHeQBAIDFgn3Xrl11dn8+H330ka99AgDA/wwfS/F2mqDXqVMn6dixo7up7L6srEw/Y9++ffvA9BIAAJPNxm/SpIlOjs9sQ4YM0ddLSkr093Xr1tVD4X369JH8/PzqkdnPmDHjnOcnTpyox+8BAIDI559/Lk6n03381VdfyU033SR33nmnPh45cqS8//77smzZMr1WzdChQ6V3797y2WefVd9d79Ra+a+88oq/3g4AAFNn9hdffLFem6aivffee9K8eXO57rrr9BLzCxYskOnTp8sNN9wgKSkpsnDhQlm/fr1s2LCh+gb7zMxMiYyM9NfbAQBQLZfLLSws9GgVe8T8GjXc/dprr8n999+vS/lbtmyR8vJySUtLc7+mTZs20qhRIx1Pg17GVyWG0xmGIYcOHZLNmzfLuHHj/Nk3AACqneTkZI/jCRMm6KHsX7NixQq9pPyf//xnfZyXl6efaqtdu7bH6xISEvS1oAd7Na5wupCQEGndurVMmjRJunXr5s++AQBQ7eTk5EhsbKz7WC0s91tUyb579+6SlJQkweBVsFcTDQYMGKBn3depUydwvQIAoJouqhMbG+sR7H/Lvn375L///a+888477nNqDF+V9lW2f3p2r2bjq2tBHbMPDQ3V2Tu72wEAzMYRpC1u1cS7evXqya233uo+pybkqW3iMzIyPHaV3b9/v6SmpkrQy/iXXnqp7NmzR5o2ber3zgAAYCUul0sH+/79+0uNGjU8hsQHDhwoo0aNkvj4eF0pUPvLqEB/9dVXBz/YT5kyRW96M3nyZP3JJCoqyuO6N6UNAACqlFG1P06V71W2rmbhn2vdGjXvTS2mo2b0p6eny5w5cwLSj0oHezUB75FHHpFbbrlFH992220ey+aqWfnq+PQFBAAAsPNGON26ddPx8VzU4+qzZ8/WLdAqHeyfeuopeeihh+Tjjz8ObI8AAEBwgn3FJxO18g8AAGbjYD/7yvm13e4AAKjWDPazr5RWrVr9ZsA/cuSIr30CAAB+5FWwV+P2Z66gBwCAGTgo41dO37599cIAAACYjmHfMn6lV9BjvB4AAJvMxgcAwJQM+2b2NbxZ8g8AALNyMGYPAIDFGfbN7L3a9Q4AAJgPmT0AwB4M+2b2BHsAgC04bDxmTxkfAACLI7MHANiDQRkfAABLc1DGBwAAVkVmDwCwB4MyPgAA1mbYN9hTxgcAwOLI7AEAtuD4uflyv1kR7AEA9mDYt4xPsAcA2IKDR+8AAIBVkdkDAOzBoIwPAID1GWJLlPEBALA4MnsAgC04bDxBj2APALAHw75j9pTxAQCwODJ7AIAtOGxcxiezBwDYq4xv+NC8dPDgQbnnnnukbt26UrNmTWnfvr1s3rz5ly4ZhowfP17q16+vr6elpcnOnTv9+3sT7AEACIyjR4/K7373OwkLC5MPPvhAvvnmG3nhhRekTp067tc899xzMmvWLJk3b55s3LhRoqKiJD09XUpKSvzaF8r4AABbcFRxGf/ZZ5+V5ORkWbhwoftc06ZNPbL6mTNnypNPPik9e/bU5xYvXiwJCQmyYsUK6du3r/gLmT0AwB4M/5TxCwsLPVppaek5f9y7774rV1xxhdx5551Sr149ueyyy2T+/Pnu69nZ2ZKXl6dL9xXi4uKkc+fOkpmZ6ddfnWAPALAHwz/BXmXrKihXtKlTp57zx+3Zs0fmzp0rLVu2lA8//FAGDx4sDz/8sPzzn//U11WgV1Qmfzp1XHHNXyjjAwDghZycHImNjXUfR0REnPN1LpdLZ/bPPPOMPlaZ/VdffaXH5/v37y9VicweAGCrMXuHD01Rgf70dr5gr2bYt2vXzuNc27ZtZf/+/fr7xMRE/TU/P9/jNeq44pq/EOwBAPZgVO2jd2omflZWlse57777Tho3buyerKeCekZGhvu6mgOgZuWnpqaKP1HGBwAgAEaOHCnXXHONLuPfddddsmnTJvnHP/6hm+JwOGTEiBEyZcoUPa6vgv+4ceMkKSlJevXq5de+EOwBALbgMAzdfLnfG1deeaUsX75cxo4dK5MmTdLBXD1q169fP/drxowZI8XFxTJo0CApKCiQLl26yKpVqyQyMlL8iWAPALAHo+o3wvnDH/6g2/mo7F59EFAtkBizBwDA4sjsAQC24LDxRjgEewCAPRjsZw8AACyKzB4AYAsOyvgAAFicYd8yPsEeAGALDhtn9ozZAwBgcWT2AAB7MCjjAwBgeQ4TB2xfUMYHAMDiyOwBAPZgGKeaL/ebFMEeAGALDmbjAwAAqyKzBwDYg8FsfAAALM3hOtV8ud+sKOMDAGBxZPY4yx/u+0Fuve9HSUgu08f7siJlyYwE2fxxrD7u3u9H6Xr7UWnR/ieJinFJ7zaXSnFhaJB7DZzfzo2xsvqlhpKzPUqOHY6QQf/4RjqlH3Ff/+KDuvLpkkTJ2R4txQVhMvY/X0jyJcXnnZA9u387+WZN/Fnvg2rOsG8Zn8weZ/n+UJi88kx9GXpzKxnWvZV8+Vm0TFy4Vxq3KtHXI2u6ZPMnMfL6i/WC3VWgUspOhErDtkXyx8l7zn39pxBpcWWh9Hp872++10cLksThCEAnUWWz8R0+NLMKama/du1amTZtmmzZskUOHToky5cvl169egWzSxCRjavjPI4XPVtf/nDfj9ImpVj2fRcpy1++WJ/vkFoUpB4C3rmk61Hdzqdz7+/11x9zIn71fXK+jpKM+Q3ksZXbZOyVnf3eTwSYYd/n7IOa2RcXF0vHjh1l9uzZwewGfkVIiCHX9TwqEbVcsmNzVLC7AwSNyv4XPtxa/jh5t8TVKw92dwDzZPbdu3fXrbJKS0t1q1BYWBignqFJm59k5spdEh7hkp+KQ2TSwCayf2dksLsFBM1bk5pKs5RC6diNMXqzcrCojjlMnTpV4uLi3C05OTnYXbKsA7sj5C83tZKHb20p7y2+SEb/bb80anlqzB6wm/9bHS9Z62vLHRPOPeYPk03QM3xoJmWq2fhjx46VUaNGeWT2BPzAOFkeIrl7T41f7tpeS1p3OiG9HvheZj3GnzfsJ2t9nPywL1JGt0/1OD//obbS4qpCGfnG9qD1DbBcsI+IiNANVU/NPg4LN/HHWsAH3QYfkN/1zfc4N6Xb5XLH+D3S/kbK+mbhsHEZ31TBHlVjwNhD8vlHMfL9wXCpGe2UrrcXSIdriuSJPzXT1+tcXC516p2UpKan5k80bfOTnCgOle8PhsnxAv5KofopKQ6R7/fWdB//mBOpZ9ZH1T4p8Q1Kpbighhw5GCHH8sP19fw9p14be3GZnoxX0c5UJ6lULmr0yzwiVHOGfWfj8y8zzlL7opPy6Kz9El/vpJw4HirZOyJ1oN+6NkZfVwvu3PvIL1nOCyt266/Pj0iW1W/GB63fwPns/78Ymdm3vfv47cmnPrhefUe+3PfCTj0m/+roVu7rrwxto7/eMmK//GHk/iD0GLBQsC8qKpJdu3a5j7Ozs2Xbtm0SHx8vjRo1CmbXbG3GI78+Lv/aC4m6AWbRKvWYzNm37rzXU+88rJs3fu39UD05KOMHx+bNm6Vr167u44rJd/3795dFixYFsWcAAMsx7LtcblCD/fXXXy+GicdAAAAwA8bsAQC24LBxGd9Ui+oAAHDBXIbvzQsTJ04Uh8Ph0dq0OTX5UykpKZEhQ4ZI3bp1JTo6Wvr06SP5+Z6PePoLwR4AYA9G1a+gd8kll+iN3iraunW/TOwcOXKkrFy5UpYtWyZr1qyR3Nxc6d27twQCZXwAAAKkRo0akph49tNLx44dkwULFsjSpUvlhhtu0OcWLlwobdu2lQ0bNsjVV1/t136Q2QMAbMHh6572py3Vfno7fYO2M+3cuVOSkpKkWbNm0q9fP9m//9S6DWpr9/LycklLS3O/VpX41WPnmZmZfv/dCfYAAHutoGf40ET0niynb8qmNmk7l86dO+vHyFetWiVz587Va8n8/ve/l+PHj0teXp6Eh4dL7dq1Pe5JSEjQ1/yNMj4AAF7IycmR2NhY9/H59mw5fQv3Dh066ODfuHFjefPNN6VmzV+Wb64KZPYAAFtw+FLCP+2xPRXoT2+V3aBNZfGtWrXSK8eqcfyysjIpKCjweI2ajX+uMX5fEewBAPZgBHc/e7VE/O7du6V+/fqSkpIiYWFhkpGR4b6elZWlx/RTUz23UvYHyvgAAATA6NGjpUePHrp0rx6rmzBhgoSGhsrdd9+tx/oHDhyol4lX+8GoCsGwYcN0oPf3THyFYA8AsAWHYejmy/3eOHDggA7sP/74o1x88cXSpUsX/Vid+l6ZMWOGhISE6MV01Iz+9PR0mTNnjgQCwR4AYA+un5sv93vh9ddf/9XrkZGRMnv2bN0CjTF7AAAsjsweAGALjiou41cnBHsAgD0Y7GcPAIC1Gb+sgnfB95sUY/YAAFgcmT0AwBYcp62Cd6H3mxXBHgBgDwZlfAAAYFFk9gAAW3C4TjVf7jcrgj0AwB4MyvgAAMCiyOwBAPZgsKgOAACW5rDxcrmU8QEAsDgyewCAPRj2naBHsAcA2IPh43725o31BHsAgD0wZg8AACyLzB4AYKNH7wzf7jcpgj0AwB4M+07Qo4wPAIDFkdkDAOzBpWbZ+Xi/SRHsAQC24GA2PgAAsCoyewCAPRj2naBHsAcA2INh32BPGR8AAIsjswcA2INh38yeYA8AsAcXj94BAGBpDh69AwAAVkWwBwDYa8ze8KFdoL/+9a/icDhkxIgR7nMlJSUyZMgQqVu3rkRHR0ufPn0kPz9fAoFgDwCwB5fhe7sAn3/+ubz00kvSoUMHj/MjR46UlStXyrJly2TNmjWSm5srvXv3lkAg2AMAECBFRUXSr18/mT9/vtSpU8d9/tixY7JgwQKZPn263HDDDZKSkiILFy6U9evXy4YNG/zeD4I9AMAeDP+U8QsLCz1aaWnpeX+kKtPfeuutkpaW5nF+y5YtUl5e7nG+TZs20qhRI8nMzPT7r06wBwDYhOFjoD8V7JOTkyUuLs7dpk6des6f9vrrr8vWrVvPeT0vL0/Cw8Oldu3aHucTEhL0NX/j0TsAALyQk5MjsbGx7uOIiIhzvmb48OGyevVqiYyMlGAjswcA2IPhnzK+CvSnt3MFe1WmP3z4sFx++eVSo0YN3dQkvFmzZunvVQZfVlYmBQUFHvep2fiJiYl+/9XJ7AEA9uD6pRR/4fdXzo033ijbt2/3ODdgwAA9Lv/YY4/poYCwsDDJyMjQj9wpWVlZsn//fklNTRV/I9gDAOBnMTExcumll3qci4qK0s/UV5wfOHCgjBo1SuLj43WFYNiwYTrQX3311f7uDsEeAGAThutU8+V+P5oxY4aEhITozF7N6E9PT5c5c+ZIIBDsAQD2YAR317tPPvnE41hN3Js9e7ZugUawBwDYg6vqxuyrG2bjAwBgcWT2AAB7MIJbxg8mgj0AwB4MHwO2eWM9ZXwAAKyOzB4AYA8GZXwAAKzNpZ6Td/l4vzlRxgcAwOLI7AEA9mBQxgcAwNoM+wZ7yvgAAFgcmT0AwB5c9l0ul2APALAFw3Dp5sv9ZkWwBwDYg2H4lp0zZg8AAKorMnsAgD0YPo7ZmzizJ9gDAOzB5RJx+DDubuIxe8r4AABYHJk9AMAeDMr4AABYmuFyieGw56N3lPEBALA4MnsAgD0YlPEBALA2lyHisGewp4wPAIDFkdkDAOzBUJm5y5aZPcEeAGALhssQw4cyvkGwBwCgmjNUVs8KegAAwILI7AEAtmBQxgcAwOIM+5bxTR3sKz5lnZRyn9ZJAKqzouPm/QcG+C1FRa4qy5pP+hgr9P0mZepgf/z4cf11nfwn2F0BAubyS4LdA6Bq/j2Pi4sLyHuHh4dLYmKirMvzPVao91HvZzYOw8SDEC6XS3JzcyUmJkYcDkewu2MLhYWFkpycLDk5ORIbGxvs7gB+xd/vqqdCkAr0SUlJEhISuDnjJSUlUlZW5vP7qEAfGRkpZmPqzF79xWjYsGGwu2FL6h9C/jGEVfH3u2oFKqM/XWRkpCmDtL/w6B0AABZHsAcAwOII9vBKRESETJgwQX8FrIa/37AqU0/QAwAAv43MHgAAiyPYAwBgcQR7AAAsjmAPAIDFEexRabNnz5YmTZrohSk6d+4smzZtCnaXAL9Yu3at9OjRQ6/iplbjXLFiRbC7BPgVwR6V8sYbb8ioUaP0Y0lbt26Vjh07Snp6uhw+fDjYXQN8VlxcrP9Oqw+0gBXx6B0qRWXyV155pfz9739370ug1hAfNmyYPP7448HuHuA3KrNfvny59OrVK9hdAfyGzB6/SW0esWXLFklLS/PYl0AdZ2ZmBrVvAIDfRrDHb/rhhx/E6XRKQkKCx3l1nJeXF7R+AQAqh2APAIDFEezxmy666CIJDQ2V/Px8j/PqODExMWj9AgBUDsEevyk8PFxSUlIkIyPDfU5N0FPHqampQe0bAOC31ajEawD92F3//v3liiuukKuuukpmzpypH1caMGBAsLsG+KyoqEh27drlPs7OzpZt27ZJfHy8NGrUKKh9A/yBR+9Qaeqxu2nTpulJeZ06dZJZs2bpR/IAs/vkk0+ka9euZ51XH3AXLVoUlD4B/kSwBwDA4hizBwDA4gj2AABYHMEeAACLI9gDAGBxBHsAACyOYA8AgMUR7AEAsDiCPQAAFkewB3z05z//WXr16uU+vv7662XEiBFBWQXO4XBIQUHBeV+jrq9YsaLS7zlx4kS9WqIv9u7dq3+uWn4WQHAQ7GHZAKwCjGpqI58WLVrIpEmT5OTJkwH/2e+8845MnjzZbwEaAHzFRjiwrJtvvlkWLlwopaWl8p///EeGDBkiYWFhMnbs2LNeW1ZWpj8U+IPaPAUAqhMye1hWRESEJCYmSuPGjWXw4MGSlpYm7777rkfp/emnn5akpCRp3bq1Pp+TkyN33XWX1K5dWwftnj176jJ0BafTqXcAVNfr1q0rY8aMkTO3lzizjK8+bDz22GOSnJys+6SqDAsWLNDvW7H5Sp06dXSGr/pVsYXw1KlTpWnTplKzZk3p2LGjvPXWWx4/R32AadWqlb6u3uf0flaW6pd6j1q1akmzZs1k3LhxUl5eftbrXnrpJd1/9Tr153Ps2DGP6y+//LK0bdtWIiMjpU2bNjJnzhyv+wIgcAj2sA0VFFUGXyEjI0OysrJk9erV8t577+kgl56eLjExMfLpp5/KZ599JtHR0bpCUHHfCy+8oHdBe+WVV2TdunVy5MgRWb58+a/+3Pvuu0/+9a9/6V0Cd+zYoQOnel8VPN9++239GtWPQ4cOyd/+9jd9rAL94sWLZd68efL111/LyJEj5Z577pE1a9a4P5T07t1bevToocfCH3jgAXn88ce9/jNRv6v6fb755hv9s+fPny8zZszweI3a+vXNN9+UlStXyqpVq+SLL76Qv/zlL+7rS5YskfHjx+sPTur3e+aZZ/SHhn/+859e9wdAgKhd7wCr6d+/v9GzZ0/9vcvlMlavXm1EREQYo0ePdl9PSEgwSktL3fe8+uqrRuvWrfXrK6jrNWvWND788EN9XL9+feO5555zXy8vLzcaNmzo/lnKddddZwwfPlx/n5WVpdJ+/fPP5eOPP9bXjx496j5XUlJi1KpVy1i/fr3HawcOHGjcfffd+vuxY8ca7dq187j+2GOPnfVeZ1LXly9fft7r06ZNM1JSUtzHEyZMMEJDQ40DBw64z33wwQdGSEiIcejQIX3cvHlzY+nSpR7vM3nyZCM1NVV/n52drX/uF198cd6fCyCwGLOHZalsXWXQKmNXZfE//elPenZ5hfbt23uM03/55Zc6i1XZ7ulKSkpk9+7dunStsu/OnTu7r9WoUUOuuOKKs0r5FVTWHRoaKtddd12l+636cOLECbnppps8zqvqwmWXXaa/Vxn06f1QUlNTxVtvvPGGrjio36+oqEhPYIyNjfV4TaNGjaRBgwYeP0f9eapqhPqzUvcOHDhQHnzwQfdr1PvExcV53R8AgUGwh2Wpcey5c+fqgK7G5VVgPl1UVJTHsQp2KSkpuix9posvvviChw68pfqhvP/++x5BVlFj/v6SmZkp/fr1k6eeekoPX6jg/Prrr+uhCm/7qsr/Z374UB9yAFQPBHtYlgrmajJcZV1++eU6061Xr95Z2W2F+vXry8aNG+Xaa691Z7BbtmzR956Lqh6oLFiNtasJgmeqqCyoiX8V2rVrp4P6/v37z1sRUJPhKiYbVtiwYYN4Y/369Xry4hNPPOE+t2/fvrNep/qRm5urPzBV/JyQkBA9qTEhIUGf37Nnj/7gAKB6YoIe8DMVrC666CI9A19N0MvOztbPwT/88MNy4MAB/Zrhw4fLX//6V70wzbfffqsnqv3aM/JNmjSR/v37y/3336/vqXhPNeFNUcFWzcJXQw7ff/+9zpRVaXz06NF6Up6a5KbK5Fu3bpUXX3zRPentoYcekp07d8qjjz6qy+lLly7VE+280bJlSx3IVTavfoYq559rsqGaYa9+BzXMof5c1J+HmpGvnnRQVGVATShU93/33Xeyfft2/cjj9OnTveoPgMAh2AM/U4+VrV27Vo9Rq5nuKntWY9FqzL4i03/kkUfk3nvv1cFPjV2rwHz77bf/6vuqoYQ77rhDfzBQj6Wpse3i4mJ9TZXpVbBUM+lVljx06FB9Xi3Ko2a0qyCq+qGeCFBlffUonqL6qGbyqw8Q6rE8NWtfzYL3xm233aY/UKifqVbJU5m++plnUtUR9edxyy23SLdu3aRDhw4ej9apJwHUo3cqwKtKhqpGqA8eFX0FEHwONUsv2J0AAACBQ2YPAIDFEewBALA4gj0AABZHsAcAwOII9gAAWBzBHgAAiyPYAwBgcQR7AAAsjmAPAIDFEewBALA4gj0AAGJt/x9u2dMG+ObLoAAAAABJRU5ErkJggg==", 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", 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" ] @@ -494,7 +344,7 @@ "source": [ "model = LogisticRegression(penalty=None)\n", "model.fit(X_train, y_train)\n", - "test_model(model, X_test, y_test, False, os.path.join(results_dir, 'sklearn_metrics.txt'))" + "test_model(model, X_test, y_test, os.path.join(results_dir, 'sklearn_metrics.txt'), False)" ] }, { @@ -506,7 +356,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -514,25 +364,24 @@ "output_type": "stream", "text": [ "\n", - "Coefficients: [ 2625.14124881 56447.47855649 0. -3258.29301875\n", - " -0. -0. 0. 0.\n", - " -0. 0. 0. ]\n", + "Coefficients: [0.03309715 1.15530674 0.53586764 0.01442593 0.26084228 0.21664665\n", + " 0.08915 0.25685184 0.01816719 0.14353119 0.06329095]\n", "\n", - "\u001b[96m\u001b[4mAUC ROC\u001b[0m: 0.7406006674082314\n", + "\u001b[96m\u001b[4mAUC ROC\u001b[0m: 0.7979532814238042\n", "\n", - "\u001b[96m\u001b[4mBalanced accuracy\u001b[0m: 0.7406006674082313\n", + "\u001b[96m\u001b[4mBalanced accuracy\u001b[0m: 0.7348164627363738\n", "\n", - "Accuracy: 0.7400\n", + "Accuracy: 0.7333\n", "\n", "Classification Report:\n", " precision recall f1-score support\n", "\n", - " 0 0.76 0.72 0.74 155\n", - " 1 0.72 0.76 0.74 145\n", + " 0 0.77 0.69 0.73 155\n", + " 1 0.70 0.78 0.74 145\n", "\n", - " accuracy 0.74 300\n", - " macro avg 0.74 0.74 0.74 300\n", - "weighted avg 0.74 0.74 0.74 300\n", + " accuracy 0.73 300\n", + " macro avg 0.74 0.73 0.73 300\n", + "weighted avg 0.74 0.73 0.73 300\n", "\n", "\n", "Confusion Matrix:\n" @@ -549,7 +398,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -573,47 +422,47 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 35, "metadata": {}, "outputs": [ + { + "data": { + "image/png": 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bjZ+xKmLjxo2upldT1yogJqIJAjQdbfw2dH9mMUYqUGmCzq9nn302em5ppiYF7QkTJrjB7ZOxbz3n3nvvdZMx+CnX82zt6tW+7gMAgEQ0sq4mzVFfHDUEFYbAm4DCbr169YI+jFLr16wsK2jepQEDBrjZmjQ7kmaSmj17tptNSh21SjI1qVpcNeqD/tP897//Nb9999137pj1YSo+dGsKV7X6nnbaadHlTz/9tKtbLo7Vq1fbGWecYY0aNXIjW/hJM5TVqVrV130AAFAYTRtet27dQtch8CYQCSN6AQtq8Usmha4xY8a41r2srCwr7XY64oiEy/X7UAezsWPH2mGHHeam/lQrrzpyxQfFRBQeNcVrfNidP3++ffLJJ4X+rqtXr25lypSxJUuW5Fmu+5qatqg0HWnTpk0Tlldo2lxNXRrbUq1WXE2JWtR965OuyiN0Dr/99tu+n0/a/6offijWczjfUZpwvqM0yU7x+a4GHjVQxjciJULgTSByqVkBKFWBV3PPa1+8IboC1YSLn3zySWvcuLEb9ksuueQSGzJkiAu8xS1piITdX375xcaPH2/VqlUr9LkKogqq48aNs/bt27tlKk3Q/e7duxf5R1OrtMoa9thjjwLPrUQt1UXZt/7jqz5YAVlDt2n4Mr9lZmQU+/8I5ztKE853lCbZAZ3vRSk/pdMadgga7mvw4MFuaK4ItdaqPEA1vZGShsJukU+A+g953nnn2TfffONaWlUfq0vzusV2HDv55JNdyI7QvnUMw4YNsxkzZljXrl1t3bp11qlTp+g62oaCt45Lpk+f7u5rnNzIMau1uF27dq5Veu7cua52V2Pm/v777wX+/Nvat8KuPlFr2XPPPefuR34m/XwAAJRmtPBih/DCCy+4T41qlY3QZQy19r700kvWrFmzIm/rjz/+cC2g0qRJkzyPqbU30oKsmlp1/oro0KGDLVu2zHr16uWCpJ6rsW5jW44HDRrk6osjjj/++GjHtMsvv9z9DBMnTnSd5M455xxXglCnTh0XrgtrKd3WvjU271dffZWwhVihWhNWAABQWmVobLKgDyJs1DpWtWrV6LBOflOL46hRo+z000/nkpcccIDZmWeaPfxw0EeCwvTqZTZsmNn8+cV6Guc7ShPOd5Qm2Sk+34uT12jhBQAAKaVSK4UjpJfs7Gw39rtGHkpGOZ1CszptJwOBFwAApIQuKqssa+XKlUEfCnz6/Wr0Ho2qlKx5DDROvba5vdsLPPAOHDjQ+vXr5/4DHHroofbEE08UWo+pcVg1XuqCBQtc5x91Purbt2+0R7rGHY2toZSGDRsWa3IAAACQfJGwq5Fq1KeByZ3SS25urht+UzOIbmsiiKKEZ3VYX7p0qbtfq1atHTfwangm9T5XR5/mzZu7MKthlWbNmuX+M8R75ZVX7LbbbnNDUR199NH2888/u45A+g/Tv3//6Hoan/Xjjz+O3mdqVQAAgqVL3JGwu62hILHjBt7Nmze7RsjtDbyiEZhEoVfnzfaUNwQ6LJlCapcuXdzQSpoVSsFXn/gUaBOZNGmSHXPMMXbRRRe5XucahknTwWpYqlgKuGr+jtzUEgxo9IUbbrgh6MMAgFIpUrOrv/NAUUXOl+2t+Q6s6VOfAKZOnWq33357dJk+DbRq1comT56c8Dlq1dUQVAq4KnuYM2eO6w146aWX5llPkwloXmV9wmjRooUredhzzz0LPJZNmza5W2yvv8iLm4qi+sg+KODfqqznWfxFrrZt27rXR0NxxdN4thr+S9P2amKKMFMh/0033WSvvfaaO+d0ReOpp57KM7RZPF0e0pWNkSNH2p9//ml77bWXG7f3mmuuSXgJSL1j9TppprXIRBV6bf7zn//Y559/7oZa0wdGPb9Hjx4J9/nFF19Yy5Yt7eCDDy50Qg8N8bKlmOct5ztKE873f+g10HuUbmoJRPrx/h74K5m/48g5o/MnvoW3OP+vAgu8+qOryxvxf+h1v6B6W7Xs6nnHHnus++G3bNni/mjfcccd0XVUGjF06FBXt7to0SJXz3vcccfZDz/8UODUcwrE8XW/ounxUvlJVFPmwqzVhg1WOW7ZlVdeaeeee66bnCF+vmyNcauZ1sIeduXGG2+0Dz74wEaMGOGGUtFMaRqPVwGzICr70dTH+rCnoKrz8tprr3Uf6s4666w866osKFFNnD5c6nKQtqHxi3W15KqrrnJvHvEzxemSY8eOHd3YwPHTGcfbtHGjfTRqlJUE5ztKE873f66+6kN87CQ/SD9r1qxJ2rZ0rmzYsMGNYa/cF0s1vkW1QxW3akaqBx54wLWIKdhqNiu1UN1777121113uXVOO+206PoKQFqvfv369vrrr7vQlIhamWNn8IrMzaySiVSNw6s3w9atWzNOo07KW2/Nt+zMM8+03Xff3X2YufPOO6PL9cap8KgWUJW36D/EihUrbJ999nEfhLSsIAqGsa2gkd6gCo2qDRf1NFWLrEKmrkDow9Njjz1WookcNE6gZkFTLfpJJ50UDesHHnigffnll3bUUUclfJ7C6WWXXRadEENB9emnn3ZXOmIDr1piH3nkETeDXHxx/xVXXJHn/t577+2upLz11lv5Aq8+ROrDpcKwWpULU75CBdeiXByc7yhNON/zXuHSe6o6NKVi6nOknud5LuyqgTFZHRJ13qiWV1dy48+byBX5UAde1dXqD2p8C5Lu6xNgIgq1Kl/o3Lmzu3/IIYe4qVQVAP79738nLJBWgNl///2jU70mUr58eXeLpzenVL5BpXp/oZXgP4laBtTqqMCr33XkP5LCrq4UXHLJJe57zWCmDylqRdW5ouBbnFnY4v9QqeRAZTEqm9Ax3HfffXbqqafa999/b+XKlXNTE1999dWFbufDDz90QVmtrNqmynYiDjjgAFduo/BZUOBVKY9mhlNoVauuPvipw+ajjz6a51OuQqpGPSno/0+iAL7bbrvlWaYArlIhtQTrZ90W/RZKes5yvqM04Xzf2mlN7936W709HZo0vOtnn5ktWqSe+2bHHWeWpKFaC6RGEE3trvd79TeK1a1bN9cQp4YJ/Y0qzXL/LmOI/J6TQdvR9hL9HyrO/6nAAq/CQtOmTW3cuHHRFja9ULof3+IU+0c9/gWM1HMUNGGcWgA1RWx8nS9CSL/DjRsLfFiBT0PYffrpp9HWTgU0lTqoFf/mm2+OrnvdddfZRx995Fr2Sxp4NYqIzslnn302GrC1P32IUujUFQC1sOoqQmE0dXBkOB6d93p+fBmPHiuIhurThzqVcih06//A4MGDo9MWR0olFIzbtWtXpJ9Nrcb6+fTBILb2XS3lkXAPAGHz1ltm6nrw++//LFOV22OPmZ1zjr/71pVf9b9QY0Nk9AC1PuqqXWH9hMJg8+bN7u9PaRboKA0qI9Afbn1qmjFjhnXt2tW12GrUBlGLXmynNnVc0hi8OuHmzp3rLhOp1VfLI8FXoUeBaN68ee6P+tlnn+0eK+zSdpD0SfXTTzNs4sQ67mtkYhJ9nTDB7NVXt35NwoQlSVWc48vZnGPfDphgk6571X3V/Xw0CPm552rQ5AK3o9ZQhbrIKB5qtVc4U6mKWg5U2qJWf7Va6pKZAq/Gay4pdfTSPnRpRtvTTdvWG5w+RIke23fffQu9Rd4YS0qBVyUPauVVK7HKFtSiEBl6T8tV46tSjKJQPbuCce/evV1oF71+aiFWLbuuiABAGMPueeflDbvyxx9bl+txPx1++OEu9KoU7J9jesuF3cMOOyy6TA0l6hukDsZ6/9ccA2+88Ub0cb3f6u9W5HH1OVKpXCw1qqixpnLlyq6RRCNUzf97Gne1NseW4olGIIo0BIm+V+OhluuKeps2baLv/yr91N8zNbaoMVB9o0qDQJtxOnToYMuWLbNevXq5Fq4mTZq43uWRjmwKK7EtuqrdVEubvv7xxx+uplNh9/7774+uo05NCrfqza7H1cFNYUHfh/eTqn4NR5iGEtYnVWVzBclEn2DVgFfUSzkFXfZJtFyKuu477yT+hK0r7BoBLnbdr29/y/bs38Oa5Pyz8sKb69qCno/ZkX3PcdveOPl/1vLJ86zC+r8s44UXzG65pcDXTG8Sar3VpXu1tqpkQaMJPPjgg+4NQ6FPoVdvEvqPXljHCJ1L8VcGYnt86uqArkKobCFe5HwqTkmDSg10POoUFtvKW1gZjwr1VYusWuMzzjgjWpuuet2HH37YlUco7CqAx7ccq+Vb+9UbZ8RPP/3kOqOpxTi2Flo1V6r9/d///he9wqI3bb0+au1VDXOk7hgAkkFvv0Xtc6S/Rddfv/U5ibaji3D6u6SKsaKUN6g/eklKTHWlUX97Lr74YndfDTBqpIt9n1XYVVmYSh/2228/17dEZXf6u6G/V3pv1RU7leFpPOJIJ2L1vfi///s/1zFLgVbDtr766qvu74b6bBS3JlaNiWpIjHSKXrlypXsfV1moWqn190VlgNqn/o6kPQ/5rFq1Sv+l3Fe/vPmm52Vk6L9p0W6RdatVy7u8bl3PGzHC88aP97xXXtn6dcuWrdvXY/Hr3nJL/uXaZqLtFrRuUY+5405vejmW4eXEPbB1WYbXsfIbXhd72ttg5b2vranXouYcd9y5DRt63k03JXzd1qxZ4+20007eoEGDvLp163r333+/W37mmWd6V1xxRXS9nJwcb7/99vPatWsXXdayZUuvR48e0ft77LGHN3DgwOj9n3/+2f3en3/+eXf/mWee8XbddddCz4PVq1d7v/zyS6G39evXu3VXrlzpZWVleW+88Ub0+TNnznT7nDx5cqHn4qhRo/Isv+qqq7zWrVu77xctWuRNnz49z03Peeyxx7w5c+ZEn/PDDz+4n/kW/WLj6PWK30bXrl29hg0buu/Xrl2b/+Duusvz9tzTK67Nmzd7I0eOdF+BdMf5/o8NGzZ4P/30k/sqelsp6t+TZN8SvaUV5rLLLnN/T5YuXeqVL1/emzdvnrtVqFDBW7ZsmXtM62zcuNGrVKmSN2nSpDzPv/LKK70LL7ywwO1369bNO/fcc933f/75p3sPnzBhQqHHEkt/2/Q3LkLfH3bYYXnWuffee71TTjklz7LffvvN7WvWrFleMuhvyYoVK9xXv86bkuY1CvUCoE+q+iRaQNlxQpF1//wz73K1sp5/ft5lmsAmfr3Iuv365V++vesmkmk5dt9ajfHq5aubyTTPVNb+zLqLrLxttiW2u9WzBbZ68XpX1TC3gllBYyDoMoyuDKjURb0zI6Mp6FO0Lhnpk/Kuu+7qJjVRy6kmNCmIPuk++eSTrlOaLjHpk25sAbw+watmWJf/77nnHveJXJeUdAnr1ltvdfdV0lDQcHfxNAyZWqhVyqPSCHWuU2u19h/bYU2lG2ohUDmO1lGLwC233OIufalWWSU7L7zwQnR2wcgEK/F0mU2XzCKXsfTz6rKW9h+pGVa5j1oddCVFY+7G0jBm6hEbvxwASiu9X+pqmzqn6QqYvo+d3EplcOpvpFE5YqmVNrbsQVcp1TqsK9lqadXjusot+vugv216v9Z2dCVPrbDFnVpXVyjjy/TGjx/v/o7G01XCdC9nI/AGQJfx42uQkqmoodRPx9lnVs8K/iEVghV2Jcu22Nd2pO1uS6ys7W+526hXVmjU8F4aDkujFoguz2t0Ab1BaOxkXR7SJSGNRFAQ1cLqUpQu+2s7KolQjWyEtqNLUQrCGitXl/3VAU0lASUdrk6XkRQuVW4QO/FELE2tHXvcqllXwFcA/+uvv1zoVRlPooknCqIPAyof0mU23SK0LdW7A0Cqqaxg7dqirTtxollRRkDUsOAx/XkL3XdJqawhUvql4BpLpXCiDsGRDssRkdGg9J6u/kb6G6QGDzWaqHHlq6++iq6rsglNMKQyT3Uw1t849VtS44j+hhRWjheh0r74Y2vbtq0rAYxX3DC9IyLwBkA1rumulhXth3zCullVW22n2mgbbyfbKqtiGVb4MCN6g4j/z65PxNsaMza2xkoUctWxLZZqnGKp5VR1UMmiFlO9Qca/ScaK/9l0DHrzK474bdx9993uVhwleQ4AFJVKUuMyWYHUv1Z9RdRBLdHVUW1Lj2s9v4co09CUapFVTW2kM1iErioq2KrlVlfnElFNrTpgawKhiEhH6FhqEdZNDR76u6fRIBR41cqsq3ax1K9jW0N0HX744fbmm2+6ceRL40g8gY7SUFqVgg9StsiK9kO+aefZZfaC1bTFdoR9bf3sFsvNN7EwAKA0U4iNDGQQ33crcl8D1fgddrceSxk3spQ6AcdPdavWWrXeaqhINZYoyE6bNs2NthNpPFEJnjoJq8FFY6prtKmvv/46ug2NQqWQq/HZVUanTsMaNlKTFInK0/R8lbZpuUbciQ/AiXTr1s1dJVTHfu1Px6Zj0JVOlfWlOwJvADR6gT6JJmkSklD6zI6z36xugeFVyxdYPbee/V3pO9WOsPvtTvvLqqX4aAEAYadxdjW6V1ylgPt7quV+j8MbS2VtBZW2RWZ/VV8MhVS1CKvEIdKnQiP7qExO/VE0jrtGlYpt7VU53cyZM13pm+pqVaKnsBoZEUitytq++pIceeSRrtxOw7huS+3atV3rssKthqTUiEYazUgj/CRrkogwy1DPtaAPImzUGUodjFRH6dfUwpHxBCVdfwNn21v2hp0X7agWEQnB59kb9rblf4eakXWIHXBVS7Mnn0zh0aLYNAX0229rxopiPU21ZqNGjXI12KV95imkP873f2gMc7VeKvhtz9TCQcy0hqLRkGvKUMpOyQrRhZ03xclr6R/pd7BPqvXqbR2GVp9Y40dekKBbhSP7jxxPYUZmnONC7aLMvD/kwsy6brkeT+Sn7P0te/I/l3cQUlOmmO27b9BHAaCUUbjVHAsas15fCbsoCgJvwKFXHeTHjt1iPXt+477OnWv20ENbl48fb/bKK1u/Llli9uab+QNycUJpYWG6qOvqvo5DxxN7fK+/nnjdS948x2pumGffPjreJnV/xX2ttWGuWx7/s0SO4U0717KmTVE3123/sAjGuHFbu01HLlMAABBipa+bXsjok2nLlp6tW/eHtWx5aPSTauQTbHxAjp9pbdkyTdGcf9YzFe8XNCtb375Fn2kt0bqRY0x0fInXLWNNbjhhmz9LZBa3m68/z95ZOMLatmtvdtrplnnC8SWfFgfJo9qbDRvMPv9864cR9U7+e7YhAADCjMC7gykoCBc1lBa0jeKuW9RjK+76W4NwOfv8k+H27YtP2b7/e9127t1bRTxbV1Ap8N+5N1ezV6RYtCQp5jgKOhbl8x2xPls/Y4EfLVQ/ddBBZprOW+NQbkcdHgAAqULgTQPFDZo7RKt363JmrW8wM90Se+etrTPWxbZuqxTjggvMXn017/JIuUTspBwFravlBbWQZxRUK5agE0VmmfydKxK1yEdmxosPyJH78TPn6fXxawQZ14ieqzF4NXQOHUIAAOmBwIsdVkFlEX6WbRT3Q0dRW+RVyhEf3gsqTVFo7tBh6zrJbkGObE+N6rHHofEvC3qtAQAIOwIvdmjFCZrJKNtIhqLWZxcWvLU8PiD7RTMbnXtu/pbmSBBO5diXAACUBIEXCIniBO/YgKxAesMNZsuX+3NckVbf2LAr2q8GadAIHdWr0/ILAAgvAi+QBgG5YsXUT2QS2Y/qoGNrimn5BQCEDePwAmk8kUkqJiyJ70AXafm9556tHQInTPCvkx0AAEVB4AXSbCKTokxY4mcQVsuvbur4dtFFZieeaNagwdbptAFgR3P55ZdbRkaGXXPNNfke69atm3tM6/hp6NChbj8HHnhgvsdGjBjhHmugN1oUiMALpPmUm8UJwn6JtPoSegFsN10y0qWjFF5Cqlevnr322mu2QZPv/G3jxo32yiuv2J577mmpULlyZVu6dKlNnjw5z/LnnnsuZcewPTZv3mxBIvACpUBRgnCfPv62+oo611HeAKDE9KlZLZm6dJTCS0iHH364C71vxexH3ytoHnbYYXnWHT16tB177LG2yy67WLVq1ezMM8+0X3/9Nfr4Cy+8YDvttJP98ssv0WXXXnutHXDAAbZ+/foCj6Fs2bJ20UUX2ZAhQ6LLfv/9d5swYYJbHu+dd95xx12hQgXbe++9rU+fPrZly5bo4/3797dDDjnEBWn9bDqGtWvXRh+fP3++tW3b1nbddVe3zkEHHWSjRo2Ktjjr54s1cuRIKxPTY/nuu++2Jk2a2LPPPmt77bWXOw5ZuXKlde7c2XbffXerUqWKnXTSSfbdd9+Z3wi8QCkWG4R79fK3/EGh97ffNDMxU0QDKAGFTV0qih+PMUWXkK644gp7/vnno/cVPDt16pRvvXXr1lnPnj3tm2++sXHjxllmZqadffbZlvv3lJwdO3a0008/3S6++GIXQD/44AMXCl9++WWrVKnSNo/h9ddfjwZjBc9TTz3VatSokWe9zz77zO2nR48e9tNPP9nTTz/t1r1fs2T+Tcf1+OOP248//mjDhg2zTz75xG699dY85RqbNm2yiRMn2vTp0+3BBx90Qb04Zs+ebW+++ab7cPDtt9+6Zeeff75rqf7www9t6tSpLpSffPLJ9tdff5mvPOSzatUqtUe5r6mwefNmb+TIke4rELQtWzxv/HjPe+WVrV91/803Pa9u3Uh17tZbmTJ57xf1dvvtW7yePb/2xo7NdtsG0hnv7//YsGGD99NPP7mvxaY3i/g3odhbRobn1au3db0ku+yyy7x27dp5S5cu9cqXL+/NmzfP3SpUqOAtW7bMPaZ1CqJ1lCmmT58eXfbXX395devW9bp27erVqFHDu//++ws9hueff96rWrWq+75JkybesGHDvNzcXG+fffbx3nnnHe/RRx/16tevH13/5JNP9h544IE823jxxRe9WrVqFbiPESNGeNWqVYveP+SQQ7y77757m8cT8fbbb7ufc8WKFV5OTo7Xu3dvLysry71uEZ999plXpUoVb+PGjXmeq5/j6aefLvZ5U5y8xrBkAEo0MUZJZ3zr21eXvI6w/v0ZwgxAEenNp7CZdiKXkLSeTzMJ6RL8GWec4VpKPc9z31fXIORxVKrQq1cv++qrr2z58uXRlt0FCxbYwQcf7L5XmYBqb9u0aWNHH3203XbbbcVuaVY5hVqT1Vr85JNP5llHJQJffPFFnhbdnJwcV3es1mG1JH/88cfWt29fmzlzpq1evdq1Nsc+fv3111vXrl1tzJgx1qpVKzv33HOtcePGxXrN6tev71632ONS2YRKPWKpNjq27MMPBF4AJQ7C2zvjW+RKpIZUI/QCKJA+aSdzvRJS2Ozevbv7fuDAgQnXUd2rgt7gwYOtdu3aLvAq6MZ32lKpgGpeFy1a5ILrzjvvXKRjUCmESg9UI3vppZe62t54CpWq2T0nwRtrhQoVbN68ea62WIFWoXi33Xazzz//3K688kp3nAq8qrNVIFfJhUKvwvEjjzxi1113nSuHUOiPlZ2dnW9fqv2NP65atWq5uuN48TXByUYNL4AS296Ob3RmA1AkuqyUzPVKSPWyCoQKdwqD8f7880+bNWuW3Xnnna4uVcOIrVixIt96kyZNcjWx7733nquLjYToolA4Peuss+zTTz91ATwR1cXqOPbdd998t8zMTFc7qyCuAHvUUUfZ/vvvbwsXLsy3HXVm03BsqsG96aabXIgXtdquWbPGBfWISI1uYXRcixcvdiE9/rgStZYnEy28AJLa8qsrdsVp9U3BlUgAOzrNWa4aKF0WSlRDpU/Zelzr+UgtsjNmzIh+H0+lCrpc/8wzz7iWTJUxxJcrKCiqZVYlA6eddprVrVvXjjzySNcyfF5kysxtUFnFU089la80IEIlFWrBVdmDtpmZmenKCX744Qe77777XMBUaH/iiSfcflX+MGjQoDzbuOGGG9zxKQwrtI8fPz46DnDz5s1dK/Add9zhfg6Vb+iYtkWlES1atLD27dvbQw89FA3aakVWx74jjjjC/EILLwBfW33vvDMUVyIB7MgULlXwn+gSUuT+gAFb1/OZhtLSLREFS43XqxZUlTHceOON1q9fvzzraOQEXep/4IEH3H0NDabvr776avtDgb4IKlasWGDYFbU+v//++64UQWH6qKOOskcffdSVWsihhx7qhiVTK7OOUyNEqGQhlmp+NVKDQq5athVOFbIjrcwvvfSSG6ZMx//qq6+6Eott0QQZes7xxx/vRrjQNi+44AI3BFr8SBPJlqGea77uYQek4u2qVavaqlWrCjypk0mfsnQCqPA8KyvL9/0BqaRSLQ2VuS0KyLTwIt3w/v4PdYiaO3dunjFZi01Dj8VfQqpXb2vYpSNA4HJzc12GUnZS+Pf7vClOXqOkAUCgVyJFj6uGVxMnqQRPz0lBQw2AHU2iIWN4w0AREHgBpORKpErTdOUxUejV5D6tWv1zn+HKABRryBhgG6jhBeA7BVcNPRY/i1ukUWblykAmTgIAlBIEXgAp7cw2duwW69nzG/vooy0WMx55HgxXBgBIJgIvgJRRi27Llp4df/wfpv4MixcXbbgyAOmDvvII4nwh8AIozRMnAUiRyCgVmroWKKrI+bK9o5zQaQ1AaZ44CUCKaKIGTR+7dOlSd18TF2hcVqTXsGSbN292Q4lt77BkatlV2NX5ovMm0UQfxUHgBRCIY4/1wjBxEoAUqlmzpvsaCb1IL57n2YYNG9zEGMn6MKOwGzlvtgeBF0AohyvT/c6dzV5/naE2gXShEKQpd/fYYw83KQfSS3Z2tk2cONHNpJaMiVa0je1t2Y0g8AIIfLiy+ImTInr3/ud7xuYF0odCTLKCDMKjTJkytmXLFjcjWthmFqTTGoBQDFemqYVfecWsoOnYGZsXAFBStPACCM3ESRpzt0GDxOuoxEGlDxqbVzOL0jgEACgqWngBhIbG3E1U2hDB2LwAgJIg8AIIDcbmBQD4gcALIDQYmxcA4AcCL4DQ0NBjGo2hsOEb9bhqfV991WzChK3fAwBQGAIvgNCNzSsFhd7ly81atTK76CKzE0/c2smNkRsAAIUh8AII5di8derkXb7TTlu/btyYdznDlQEAtoXACyD0Y/N+/LFZ1aqJ143M0KbhyihvAAAkQuAFEOqxeS+8cOv3asktCMOVAQAKQ+AFEHoMVwYA2B4EXgChx3BlAIDtQeAFsMMPV6bl9eptXQ8AgNAF3oEDB1qDBg2sQoUK1rx5c5syZUqh6w8YMMAaNmxoFStWtHr16tmNN95oG+O6bRd3mwB27OHKVMM7YMDW9QAACFXgHT58uPXs2dN69+5t06ZNs0MPPdTatGljS5cuTbj+K6+8Yrfddptbf8aMGfbcc8+5bdxxxx0l3iaAHXu4MmnUyOzss4M4KgDAjiDQwNu/f3/r0qWLderUyRo1amSDBg2ySpUq2ZAhQxKuP2nSJDvmmGPsoosuci24p5xyil144YV5WnCLu00AO+5wZcOHm5Uvb/bTT2Zvv7115jVmYAMAxCtrAdm8ebNNnTrVbr/99uiyzMxMa9WqlU2ePDnhc44++mh76aWXXMBt1qyZzZkzx0aNGmWXXnppibcpmzZtcreI1atXu6/Z2dnu5rfIPlKxLyBoyTjfjznmn+9vuCHTHnywjHXo4NmWLf/UO9Sp41n//jl21lmeff55hhvBQZ3ajj1268C98ctUDqGQXNTlfm4D6YP3d5Qm2Sk+34uzn8AC7/Llyy0nJ8dq1KiRZ7nuz5w5M+Fz1LKr5x177LHmefrjtsWuueaaaElDSbYpffv2tT59+uRbPmbMGNc6nCpjx45N2b6AoCXrfN+0qa6ZHZ4n7IrG7e3QoYzttNNmW7u2fHT5zjtvcjW/scuqVdtgxx33u332WV3788+K21zu5zY6d55uLVowvlq64f0dpcnYFJ3v69evD3/gLYkJEybYAw88YE899ZTrjDZ79mzr0aOH3XvvvXbXXXeVeLtqEVbdb2wLrzrEqWSiSpUqlopPKDo5WrdubVlZWb7vDwhSMs93tZp261bQ25gCsGdr15bLs3TNmrz35c8/K9jIkfsWeblf2/jrrwr20ENH2muv5djZZ/89hRx2aLy/ozTJTvH5HrkiH+rAW716dStTpowtWbIkz3Ldr1mzZsLnKNSqfKFz587u/iGHHGLr1q2zq666yv7973+XaJtSvnx5d4unX1Yq36BSvT8gSMk437/4ovAZ2LaG3pIuK+7y7d+G52W4UShuvrmsnXsuo06kE97fUZpkpeh8L84+Auu0Vq5cOWvatKmNGzcuuiw3N9fdb9GiRYFN16rJjaWAKypxKMk2Aey40nFmNaZJBoDkC7SkQWUEl112mR1xxBGuE5rG2FWLrUZYkI4dO1qdOnVcja20bdvWjcJw2GGHRUsa1Oqr5ZHgu61tAkgf6TyzWjqGeQAolYG3Q4cOtmzZMuvVq5ctXrzYmjRpYqNHj452OluwYEGeFt0777zTMjIy3Nc//vjDdt99dxd277///iJvE0D6zcCmsga1jKaTdA7zAJBqGZ5qAZCvCLpq1aq2atWqlHVa0/Bqp59+OjVeSHvJPt/fesvsvPO2fp8O72aq4VWInzuXGt50wPs7SpPsFJ/vxclrgU8tDAB+zMBWrVrBUxGHVeRYmSYZAJKLwAsg7WZg01cN1vLmm4mDcCQMR9SrZ3bLLVtbVouy3K9taB2Fd/08AIDk2aHG4QWAgqhF9IQT8i5TcGzXbuuIB5HZzFT3K/HL9Hz1jy3q8mRt44ILtobcCy80e/FFWnYBwA8EXgClLghLomUFrevnNvbaa+tXtUQTdgHAH5Q0AECAyv7d7LBlS9BHAgDpi8ALAAEi8AKA/wi8ABAgAi8A+I/ACwABIvACgP8IvAAQIAIvAPiPwAsAASLwAoD/CLwAECACLwD4j8ALAAEi8AKA/wi8ABAgAi8A+I/ACwABIvACgP8IvAAQIAIvAPiPwAsAASLwAoD/CLwAECACLwD4j8ALAAEi8AKA/wi8ABAgAi8A+I/ACwABIvACgP8IvAAQIAIvAPiPwAsAASLwAoD/CLwAECACLwD4j8ALAAEi8AKA/wi8ABAgAi8A+I/ACwABIvACgP8IvAAQIAIvAPiPwAsAASLwAoD/CLwAECACLwD4j8ALAAEi8AKA/wi8ABAgAi8A+I/ACwABIvACgP8IvAAQksDreUEfDQCkJwIvAIQg8EpubpBHAgDpi8ALACEJvJQ1AIA/CLwAECACLwD4j8ALAAEi8AKA/wi8ABAgAi8A+I/ACwABysw0y8jY+j2BFwD8QeAFgIAxFi8A+IvACwABI/ACgL8IvAAQMAIvAPiLwAsAASPwAoC/CLwAEDACLwD4i8ALAAEj8AKAvwi8ABAwAi8A+IvACwABI/ACgL8IvAAQMAIvAPiLwAsAASPwAoC/CLwAEDACLwCUgsA7cOBAa9CggVWoUMGaN29uU6ZMKXDdE044wTIyMvLdzjjjjOg6l19+eb7HTz311BT9NABQPAReAPDX32+zwRk+fLj17NnTBg0a5MLugAEDrE2bNjZr1izbY4898q3/1ltv2ebNm6P3//zzTzv00EPt/PPPz7OeAu7zzz8fvV++fHmffxIAKBkCLwCkeQtv//79rUuXLtapUydr1KiRC76VKlWyIUOGJFx/t912s5o1a0ZvY8eOdevHB14F3Nj1dt111xT9RABQPAReAEjjwKuW2qlTp1qrVq3+OaDMTHd/8uTJRdrGc889ZxdccIFVrlw5z/IJEya4FuKGDRta165dXUswAIQRgRcA0rikYfny5ZaTk2M1atTIs1z3Z86cuc3nq9b3hx9+cKE3vpzhnHPOsb322st+/fVXu+OOO+y0005zIbpMmTL5trNp0yZ3i1i9erX7mp2d7W5+i+wjFfsCgsb5nt/W96VM27hxi2Vne0EfDpKI8x2lSXaKz/fi7CfwGt7toaB7yCGHWLNmzfIsV4tvhB5v3Lix7bPPPq7V9+STT863nb59+1qfPn3yLR8zZowrl0gVlWcApQXn+z9WrGhhZnvY1Knf2U47/R704cAHnO8oTcam6Hxfv379jhF4q1ev7lo2lixZkme57qvutjDr1q2z1157ze65555t7mfvvfd2+5o9e3bCwHv77be7jnOxLbz16tWzU045xapUqWKp+ISik6N169aWlZXl+/6AIHG+5zdoUBn77juzgw461E4/vXHQh4Mk4nxHaZKd4vM9ckU+9IG3XLly1rRpUxs3bpy1b9/eLcvNzXX3u3fvXuhzR4wY4coQLrnkkm3u5/fff3c1vLVq1Ur4uDq4JRrFQb+sVL5BpXp/QJA43//xz8tQNuZ7pBPOd5QmWSk634uzj8BHaVDL6uDBg23YsGE2Y8YM18FMrbcatUE6duzoWmATlTMoJFerVi3P8rVr19ott9xiX375pc2bN8+F53bt2tm+++7rhjsDgLCh0xoA+CvwGt4OHTrYsmXLrFevXrZ48WJr0qSJjR49OtqRbcGCBW7khlgao/fzzz93NbbxVCLx/fffuwC9cuVKq127titNuPfeexmLF0AoEXgBIM0Dr6h8oaASBnU0i6ehxjwvcU/mihUr2kcffZT0YwQAvxB4AcBfgZc0AEBpR+AFAH8ReAEgYAReAPAXgRcAAkbgBQB/EXgBIGAEXgDwF4EXAAJG4AUAfxF4ASBgBF4A8BeBFwACRuAFAH8ReAEgYAReAPAXgRcAAkbgBQB/EXgBIGAEXgDwF4EXAAJG4AUAfxF4ASBgBF4A8BeBFwACRuAFAH8ReAEgYAReAPAXgRcAAkbgBQB/EXgBIGAEXgDwF4EXAAJG4AUAfxF4ASBgBF4A8BeBFwACRuAFAH8ReAEgYAReAPAXgRcAAkbgBQB/EXgBIGAEXgDwF4EXAAJG4AUAfxF4ASBgBF4A8BeBFwACRuAFAH8ReAEgYAReAPAXgRcAAkbgBQB/EXgBIGAEXgDwF4EXAAJG4AUAfxF4ASBgBF4A8BeBFwACRuAFAH8ReAEgYAReAPAXgRcAAkbgBQB/EXgBIGAEXgDwF4EXAAJG4AUAfxF4ASBEgdfzgj4aAEg/BF4ACEngldzcII8EANITgRcAAhYbeClrAIDkI/ACQMAIvADgLwIvAASMwAsA/iLwAkDACLwA4C8CLwAELDPTLCNj6/cEXgBIPgIvAISolTc7O+gjAYD0Q+AFgBBg8gkA8A+BFwBCgMALAP4h8AJACBB4AcA/BF4ACAECLwD4h8ALACFA4AUA/xB4ASAECLwA4B8CLwCEAIEXAPxD4AWAECDwAkCaB96BAwdagwYNrEKFCta8eXObMmVKgeuecMIJlpGRke92xhlnRNfxPM969epltWrVsooVK1qrVq3sl19+SdFPAwDFR+AFgDQOvMOHD7eePXta7969bdq0aXbooYdamzZtbOnSpQnXf+utt2zRokXR2w8//GBlypSx888/P7rOQw89ZI8//rgNGjTIvvrqK6tcubLb5saNG1P4kwFA0RF4ASCNA2///v2tS5cu1qlTJ2vUqJELqZUqVbIhQ4YkXH+33XazmjVrRm9jx45160cCr1p3BwwYYHfeeae1a9fOGjdubC+88IItXLjQRo4cmeKfDgCKhsALAP75+y02GJs3b7apU6fa7bffHl2WmZnpShAmT55cpG0899xzdsEFF7hWXJk7d64tXrzYbSOiatWqrlRC29S68TZt2uRuEatXr3Zfs7Oz3c1vkX2kYl9A0DjfE9OVKrVBbNy4xbKzvaAPB0nC+Y7SJDvF53tx9hNo4F2+fLnl5ORYjRo18izX/ZkzZ27z+ar1VUmDQm+Ewm5kG/HbjDwWr2/fvtanT598y8eMGeNaj1NFrdVAacH5nteaNcfpGpZ99dVUy8hI/F6FHRfnO0qTsSk639evX79jBN7tpaB7yCGHWLNmzbZrO2phVh1xbAtvvXr17JRTTrEqVapYKj6h6ORo3bq1ZWVl+b4/IEic74k9/HAZmzXL7NBDm9rpp9PCmy4431GaZKf4fI9ckQ994K1evbq7jLdkyZI8y3Vf9bmFWbdunb322mt2zz335FkeeZ62oVEaYrfZpEmThNsqX768u8XTLyuVb1Cp3h8QJM73vP55KcrGfI90wfmO0iQrRed7cfYRaKe1cuXKWdOmTW3cuHHRZbm5ue5+ixYtCn3uiBEjXN3tJZdckmf5Xnvt5UJv7Db1CUCjNWxrmwAQFDqtAYB/ihx4VWv7/fff24YNGxLWUOgxhdXiUinB4MGDbdiwYTZjxgzr2rWra73VqA3SsWPHPJ3aYssZ2rdvb9WqVcuzXGPy3nDDDXbffffZu+++a9OnT3fbqF27tlsfAMKIwAsA/ilyScOLL75oTz75pGspTdRSe8UVV7igGd/iui0dOnSwZcuWuYki1KlMZQejR4+OdjpbsGCBG7kh1qxZs+zzzz93ncoSufXWW11ovuqqq2zlypV27LHHum1qYgsACCMCLwCEIPCqRfXmm2/+e+icuI2ULetCpgJxcQOvdO/e3d0SmTBhQr5lDRs2dOPtFkStvKrtja/vBYCwIvACQAhKGtSqetRRRxX4+JFHHulKEgAAxUfgBYAQBF6VCBQ2/MOaNWuKNR4aAOAfBF4ACEHg3W+//WzSpEkFPq6aWq0DACg+Ai8AhCDwXnTRRXbnnXe60Rjifffdd67TmdYBABQfgRcAQtBp7cYbb7QPP/zQjZvbqlUrO+CAA9xyTQH88ccf2zHHHOPWAQAUH4EXAEIQeDWbhYYBe/TRR+2VV16xiRMnupES9t9/f7v//vvdkGTMIgMAJUPgBQD/FGtqYQVaDT+mGwAgeQi8ABCSwCuaaW3s2LH2888/R8fEVYlDxYoV/Tg+ACgVCLwAEJLAq6l6O3fubMuXL8+zvHr16m5iirZt2yb7+ACgVCDwAkAIRmnQkGTnnXeeHX/88fbFF1/YX3/95W4ajuy4445zj3355Zc+HioApC8CLwCEoIX3vvvus06dOtnTTz+dZ/nRRx/tbldffbWbynfUqFF+HCcApDUCLwCEoIVXrbfdu3cv8PFu3brZ5MmTk3VcAFCqEHgBIASBV53VqlSpUuDjVatWtY0bNybruACgVCHwAkBIphb+5JNPCnx83LhxTC0MACVE4AWAEARe1e/efPPNCWt0P/jgAzc27+WXX57s4wOAUoHACwAh6LTWo0cPN1LDmWee6cbePfDAA91MazNmzLBffvnF2rdv72ZbAwAUH4EXAELQwpuZmWkjRoywV1991QXemTNn2qxZs+yAAw6wl19+2d588023DgCg+Ai8ABCimdY6dOjgbgCA5MnK2vqVwAsAyZe0Jtlp06a5cgcAQPHRwgsAIQm8H330keu4dscdd9icOXPcMpU2qH73yCOPtNzcXL+OEwDSGoEXAEJQ0vDcc89Zly5dbLfddrMVK1bYs88+a/3797frrrvOlTj88MMPriMbAKD4CLwAEIIW3scee8wefPBBW758ub3++uvu61NPPWXTp0+3QYMGEXYBYDsQeAEgBIH3119/tfPPP999f84551jZsmWtX79+VrduXR8PDwBKBwIvAIRkauFKlSq57zMyMqx8+fJWq1YtHw8NAEoPAi8AhGRYMtXt7rTTTu77LVu22NChQ6169ep51rn++uuTe4QAUAoQeAEgBIF3zz33tMGDB0fv16xZ01588cU866jll8ALAMVH4AWAEATeefPm+XgYAFC6EXgBwD/MBQwAIUDgBQD/EHgBIAQIvADgHwIvAIQAgRcA/EPgBYAQIPACgH8IvAAQAgReAAhB4F24cKHdfPPNtnr16nyPrVq1ym655RZbsmRJso8PAEoFAi8AhCDw9u/f34XdKlWq5HusatWqtmbNGrcOAKD4CLwA4J8iB97Ro0dbx44dC3xcj73//vvJOi4AKFUIvAAQgsA7d+5cN9taQerWrcvkFABQQgReAAhB4K1YsWKhgVaPaR0AQPEReAEgBIG3efPm9uKLLxb4+AsvvGDNmjVL1nEBQKkMvDk5Zp4X9NEAQHr5+y122zRCQ+vWrV0HNY3IUKNGDbdcIzM89NBDNnToUBszZoyfxwoAaR94I6E39j4AYPsU+S31xBNPtIEDB1qPHj3s0UcfdaM1ZGRkuCHJsrKy7IknnrCTTjppOw8HAEqn2ICrsgYCLwAkT7HeUq+++mo788wz7fXXX7fZs2eb53m2//7723nnnec6rQEAkhN4AQDJU+w2hDp16tiNN96YxEMAABB4ASAEgffxxx9PuFw1vWrlbdGiRTKPCwBKlTJl/vmewAsAAQVe1e0msnLlSlfHe/TRR9u7775ru+22WzKPDwBKhczMrbfcXAIvAAQ68USi24oVK1w9b25urt15551JP0AAKC0YixcAAg68hdl7773tP//5D8OSAcB2IPACQIgDr2ja4cWLFydrcwBQ6hB4ASDkgXf69OlWv379ZG0OAEodAi8ABNxpbfXq1QmXq8Pa1KlT7aabbrLLLrssmccGAKUKgRcAAg68u+yyi5tZLREt79y5s912223JPDYAKFUIvAAQcEnD+PHj7ZNPPsl3++abb9zQZIMGDbJy5coV+wA0XXGDBg2sQoUK1rx5c5syZUqh62tf3bp1s1q1aln58uXdGMCjRo2KPn733Xe7AB57O+CAA4p9XACQagReAAi4hbdly5bbXOeHH36wgw8+uMg7Hz58uPXs2dOFZYXdAQMGWJs2bWzWrFm2xx575Ft/8+bN1rp1a/fYG2+84WZ9mz9/vmt9jnXQQQfZxx9/HL1flknpAewACLwA4I/tToJr1qyxV1991Z599llXy5uTk1Pk5/bv39+6dOlinTp1cvcVfD/44AMbMmRIwvIILf/rr79s0qRJlpWV5ZapdTieAm7NmjW36+cCgFQj8AJAyALvxIkT7bnnnrM333zTateubeecc44rTygqtdYqIN9+++3RZZmZmdaqVSubPHlywudoJjdNYayShnfeecd23313u+iii+xf//qXlYmZl/OXX35xx6QyCa3ft29fN2xaQTZt2uRu8R30srOz3c1vkX2kYl9A0DjfC1amjN6SM2zjxi2Wne0FfThIAs53lCbZKT7fi7OfYgVejbM7dOhQF3QVCv/v//7PBcWRI0dao0aNinWQy5cvd63BNWrUyLNc92fOnJnwOXPmzHF1wxdffLGr29UMb9dee637gXv37u3WUWmEjrFhw4a2aNEi69Onjx133HGu3GLnnXdOuF0FYq0XTxNpVKpUyVJl7NixKdsXEDTO9/w2bDjBzKrapElTbN26ZUEfDpKI8x2lydgUne/r168v8roZnucVqRmhbdu2rlX3jDPOcIHz1FNPda2qKi347rvvih14Fy5c6GpwVZ6gVtiIW2+91T799FP76quv8j1HHdQ2btzopjSOtOiqLKJfv34u3BbUyU3jA2u9K6+8ssgtvPXq1XOhvEqVKuY3BXadHKpPjpRqAOmK871gzZuXtf/9L8Pee2+LtWlDC2864HxHaZKd4vNdea169epuiNxt5bUit/B++OGHdv3111vXrl1tv/322+6D1AEqtC5ZsiTPct0vqP5WIzPoBYwtXzjwwANdy7NKJBKNEqEObQrKag0uiEZ70C2e9pXKN6hU7w8IEud7fv+8HGVjvkc64HxHaZKVovO9OPso8rBkn3/+ueug1rRpU1c28OSTT7oW0JJSONW2xo0bF12Wm5vr7se2+MY65phjXHDVehE///yzC8IFDYm2du1a+/XXX906ABBmdFoDAH8UOfAeddRRNnjwYFc6cPXVV9trr73mOoYpfKr5WmG4uDQkmbY5bNgwmzFjhms9XrduXXTUho4dO+bp1KbHNUpDjx49XNDViA4PPPCA68QWcfPNN7uSiHnz5rlyibPPPtu1CF944YXFPj4ASCUCLwCEZJSGypUr2xVXXOFuGi9XHdj+85//uGHEVLOhkRSKqkOHDrZs2TLr1auXK0to0qSJjR49OtqRbcGCBW7khgjV1X700Ud24403WuPGjV0NsMKvRmmI+P333124/fPPP90oDscee6x9+eWX7nsACDMCLwCEcBxejYTw0EMPuVEO3nvvPTdObnF1797d3RKZMGFCvmUqd1CALYhangFgR0TgBYCASxoKo5KB9u3bF6t1FwCQF4EXAEIceAEA24/ACwD+IPACQEgQeAHAHwReAAgJAi8A+IPACwAhQeAFAH8QeAEgJAi8AOAPAi8AhASBFwD8QeAFgJAg8AKAPwi8ABASBF4A8AeBFwBCgsALAP4g8AJASBB4AcAfBF4ACAkCLwD4g8ALACFB4AUAfxB4ASAkCLwA4A8CLwCEBIEXAPxB4AWAkCDwAoA/CLwAEBIEXgDwB4EXAEKCwAsA/iDwAkBIEHgBwB8EXgAICQIvAPiDwAsAIUHgBQB/EHgBICQIvADgDwIvAIQEgRcA/EHgBYCQIPACgD8IvAAQEgReAPAHgRcAQoLACwD+IPACQEgQeAHAHwReAAgJAi8A+IPACwAhQeAFAH8QeAEgJAi8AOAPAi8AhASBFwD8QeAFgJAg8AKAPwi8ABASBF4A8AeBFwBCgsALAP4g8AJASBB4AcAfBF4ACAkCLwD4g8ALACFB4AUAfxB4ASAkCLwA4A8CLwCEBIEXAPxB4AWAkCDwAoA/CLwAELLAm5Nj5nlBHw0ApA8CLwCELPBGQi8AIDkIvAAQwsBLWQMAJA+BFwBCgsALAP4g8AJASBB4AcAfBF4ACIkyZf75nsALAMlD4AWAkMjM3HoTAi8AJA+BFwBChLF4ASD5CLwAECIEXgBIPgIvAIQIgRcA0jDwDhw40Bo0aGAVKlSw5s2b25QpUwpdf+XKldatWzerVauWlS9f3vbff38bNWrUdm0TAMKCwAsAaRZ4hw8fbj179rTevXvbtGnT7NBDD7U2bdrY0qVLE66/efNma926tc2bN8/eeOMNmzVrlg0ePNjq1KlT4m0CQJgQeAEgzQJv//79rUuXLtapUydr1KiRDRo0yCpVqmRDhgxJuL6W//XXXzZy5Eg75phjXCtuy5YtXagt6TYBIEwIvACQfDHDnKeWWmunTp1qt99+e3RZZmamtWrVyiZPnpzwOe+++661aNHClTS88847tvvuu9tFF11k//rXv6xMmTIl2qZs2rTJ3SJWr17tvmZnZ7ub3yL7SMW+gKBxvheurEu8GbZx4xbLzvaCPhxsJ853lCbZKT7fi7OfwALv8uXLLScnx2rUqJFnue7PnDkz4XPmzJljn3zyiV188cWubnf27Nl27bXXuh9YJQwl2ab07dvX+vTpk2/5mDFjXOtwqowdOzZl+wKCxvme2KZNrcyssk2cOMmWLFkR9OEgSTjfUZqk6nxfv359+ANvSeTm5toee+xhzzzzjGvRbdq0qf3xxx/Wr18/F3hLSi3CqvuNbeGtV6+enXLKKValShXzmwK7Tg7VJ2dlZfm+PyBInO+Fq1KlrC1ZYtas2dF2zDG08O7oON9RmmSn+HyPXJEPdeCtXr26C61L9M4eQ/dr1qyZ8DkamUEvoJ4XceCBB9rixYtdOUNJtika7UG3eNpXKt+gUr0/IEic74n985KUjfkeOzrOd5QmWSk634uzj8A6rZUrV8610I4bNy5PC67uq043EXVUUxmD1ov4+eefXRDW9kqyTQAIEzqtAUCajdKgMgINKzZs2DCbMWOGde3a1datW+dGWJCOHTvm6YCmxzVKQ48ePVzQ/eCDD+yBBx5wndiKuk0ACDMCLwAkX6A1vB06dLBly5ZZr169XFlCkyZNbPTo0dFOZwsWLHCjLESorvajjz6yG2+80Ro3buzG31X41SgNRd0mAIQZgRcAki/wTmvdu3d3t0QmTJiQb5lKE7788ssSbxMAwozACwBpOLUwAOAfBF4ASD4CLwCECIEXAJKPwAsAIULgBYDkI/ACQIgQeAEg+Qi8ABAiBF4ASD4CLwCECIEXAJKPwAsAIULgBYDkI/ACQIgQeAEg+Qi8ABAiBF4ASD4CLwCECIEXAJKPwAsAIULgBYDkI/ACQAgDb3Z20EcCAOmDwAsAIUILLwAkH4EXAEKEwAsAyUfgBYAQIfACQPIReAEgRAi8AJB8BF4ACBECLwAkH4EXAEKEwAsAyUfgBYAQIfACQPIReAEgRAi8AJB8BF4ACBECLwAkH4EXAEKEwAsAyUfgBYAQIfACQPIReAEgRAi8AJB8BF4ACBECLwAkH4EXAEKEwAsAyUfgBYAQIfACQPIReAEgRAi8AJB8BF4ACBECLwAkH4EXAEKEwAsAyUfgBYAQIfACQPIReAEgRAi8AJB8BF4ACBECLwAkH4EXAEKEwAsAyUfgBYAQIfACQPIReAEgRAi8AJB8BF4ACBECLwAkH4EXAEKEwAsAyUfgBYAQIfACQPIReAEgRAi8AJB8BF4ACBECLwAkH4EXAEKEwAsAyUfgBYAQIfACQPIReAEghIE3N3frDQCw/Qi8ABDCwCs5OUEeCQCkDwIvAIQ08FLWAADJQeAFgBAh8AJA8hF4ASBEsrL++Z7ACwDJQeAFgBApU+af7wm8AJAcBF4ACJGMjH9CL4EXAJKDwAsAIcNYvACQhoF34MCB1qBBA6tQoYI1b97cpkyZUuC6Q4cOtYyMjDw3PS/W5Zdfnm+dU089NQU/CQBsPwIvACRXTH/gYAwfPtx69uxpgwYNcmF3wIAB1qZNG5s1a5btscceCZ9TpUoV93iEAm08Bdznn38+er98+fI+/QQAkFwEXgBIsxbe/v37W5cuXaxTp07WqFEjF3wrVapkQ4YMKfA5Crg1a9aM3mrUqJFvHQXc2HV23XVXn38SAEgOAi8ApFEL7+bNm23q1Kl2++23R5dlZmZaq1atbPLkyQU+b+3atVa/fn3Lzc21ww8/3B544AE76KCD8qwzYcIE10KsoHvSSSfZfffdZ9WqVUu4vU2bNrlbxOrVq93X7Oxsd/NbZB+p2BcQNM73bSvrEm+Gbdig96Cgjwbbg/MdpUl2is/34uwn0MC7fPlyy8nJyddCq/szZ85M+JyGDRu61t/GjRvbqlWr7OGHH7ajjz7afvzxR6tbt260nOGcc86xvfbay3799Ve744477LTTTnMhukzsmD9/69u3r/Xp0yff8jFjxrjW5lQZO3ZsyvYFBI3zvWBbtpxiZhXt00+/sN9+WxX04SAJON9RmoxN0fm+fv36Iq+b4XmeZwFZuHCh1alTxyZNmmQtWrSILr/11lvt008/ta+++qpI6f7AAw+0Cy+80O69996E68yZM8f22Wcf+/jjj+3kk08uUgtvvXr1XCBXvbDf9DPo5GjdurVlxY46D6Qhzvdt22+/sjZ/foZNmrTFjjgisLdoJAHnO0qT7BSf78pr1atXdw2g28prgbbw6iDV4rpkyZI8y3VfdbdFoRf0sMMOs9mzZxe4zt577+32pXUSBV7V+ybq1KZtp/INKtX7A4LE+V6U6YXL5pl5DTsuzneUJlkpOt+Ls49AO62VK1fOmjZtauPGjYsuU12u7se2+BZGJRHTp0+3WrVqFbjO77//bn/++Weh6wBAWNBpDQDSbJQGDUk2ePBgGzZsmM2YMcO6du1q69atc6M2SMeOHfN0arvnnntcba3KFKZNm2aXXHKJzZ8/3zp37hzt0HbLLbfYl19+afPmzXPhuV27drbvvvu64c4AIOwIvACQZuPwdujQwZYtW2a9evWyxYsXW5MmTWz06NHRjmwLFixwIzdErFixwg1jpnU1AoNaiFUDrCHNRCUS33//vQvQK1eutNq1a9spp5zi6nsZixfAjoDACwBpFnile/fu7paIhheL9eijj7pbQSpWrGgfffRR0o8RAFKFwAsAaVbSAADIi8ALAMlF4AWAkCHwAkByEXgBIGQIvACQXAReAAgZAi8AJBeBFwBChsALAMlF4AWAkCHwAkByEXgBIGQIvACQXAReAAgZAi8AJBeBFwBChsALAMlF4AWAkCHwAkByEXgBIGQIvACQXAReAAgZAi8AJBeBFwBChsALAMlF4AWAkCHwAkByEXgBIGQIvACQXAReAAgZAi8AJBeBFwBChsALAMlF4AWAkCHwAkByEXgBIGQIvACQXAReAAgZAi8AJBeBFwBChsALAMlF4AWAkCHwAkByEXgBIGQIvACQXAReAAgZAi8AJBeBFwBChsALAMlF4AWAkCHwAkByEXgBIGQIvACQXAReAAgZAi8AJBeBFwBChsALAMlF4AWAkCHwAkByEXgBIGQIvACQXAReAAgZAi8AJBeBFwBChsALAMlF4AWAkCHwAkByEXgBIGQIvACQXAReAAgZAi8AJBeBFwBChsALAMlF4AWAkCHwAkByEXgBIGQIvACQXAReAAgZAi8AJBeBFwBChsALAMlF4AWAkCHwAkByEXgBIGQIvACQXAReAAgZAi8AJBeBFwBChsALAMlF4AWAkAbe3NytNwDA9iHwAkBIA6/k5AR5JACQHgi8ABDiwEtZAwBsPwIvAIQMgRcAkivmbRUAEAYZGf98P2GC2emnm5Ups7W84bPPzBYtMqtVy+y447auE7+soHWLuzwZ2w7LNoI6vk8/zbCJE+tY5coZduKJvE7pso2wH19Q2/g0wfkeGl4IPPnkk179+vW98uXLe82aNfO++uqrAtd9/vnnPR127E3Pi5Wbm+vdddddXs2aNb0KFSp4J598svfzzz8X+XhWrVrltquvqbB582Zv5MiR7iuQ7jjfC/fmm55Xt67n6d05ctP9W27Jv7xata23oqxb3OXJ2HZYthH24wvLNsJ+fGHZRtiPLyzbqFt36/uZn4qT1wIPvK+99ppXrlw5b8iQId6PP/7odenSxdtll128JUuWFBh4q1Sp4i1atCh6W7x4cZ51/vOf/3hVq1Z1f1S/++4776yzzvL22msvb8OGDUU6JgIv4B/O94Lpj0NGRt4/Gty4ceO2I94yMrbe/Ay9xclrgdfw9u/f37p06WKdOnWyRo0a2aBBg6xSpUo2ZMiQAp+TkZFhNWvWjN5q1KgRfUwhfsCAAXbnnXdau3btrHHjxvbCCy/YwoULbeTIkSn6qQCgeHQ5sEePrX8qAGBH5/39XnbDDeEYbSbQGt7Nmzfb1KlT7fbbb48uy8zMtFatWtnkyZMLfN7atWutfv36lpuba4cffrg98MADdtBBB7nH5s6da4sXL3bbiKhatao1b97cbfOCCy7It71Nmza5W8Tq1avd1+zsbHfzW2QfqdgXEDTO98RU+/b773SrAJBeofe338zGj99iLVsm/9N8cf6OBPruunz5csvJycnTQiu6P3PmzITPadiwoWv9VcvtqlWr7OGHH7ajjz7afvzxR6tbt64Lu5FtxG8z8li8vn37Wp8+ffItHzNmjGttTpWxY8embF9A0Djf81JHD7Mjgj4MAEi6Dz/81tat+yPp212/fn2R193hmhNatGjhbhEKuwceeKA9/fTTdu+995Zom2ph7tmzZ54W3nr16tkpp5xiVapUMb/pE4r++Ldu3dqysrJ83x8QJM73xNSruX//oI8CAJLvtNOaWMuWhyZ9u5Er8qEPvNWrV7cyZcrYkiVL8izXfdXmFoX+YB522GE2e/Zsdz/yPG2jlsbLiNlmkyZNEm6jfPny7pZo26n8g5zq/QFB4nzPS0P41K1r9scf1PECSJ8hFuvW1ftbWV+GKCvO35BAO62VK1fOmjZtauPGjYsuU12u7se24hZGJRHTp0+Phtu99trLhd7YbeoTwFdffVXkbQJAqumPwWOP5R+HFwB2RBl/v48NGBCO8XgDH6VBpQSDBw+2YcOG2YwZM6xr1662bt06N2qDdOzYMU+ntnvuucfV1s6ZM8emTZtml1xyic2fP986d+4cHcHhhhtusPvuu8/effddF4a1jdq1a1v79u0D+zkBYFvOOcfsjTfM6qicN0a9ema33LK1pSRWtWpbb0VZt7jLk7HtsGwj7McXlm2E/fjCso2wH19YtlG37tb3M72vhUGGxiYL+iCefPJJ69evn+tUprKDxx9/3I2qICeccII1aNDAhg4d6u7feOON9tZbb7l1d911V9dCrHCrsoYI/Ui9e/e2Z555xlauXGnHHnusPfXUU7b//vsX6XjUIqyRHdQpLlU1vKNGjbLTTz+dS7xIe5zv28asUenzM6p3ujrsqIYxclmX12nH30bYjy+obYxPcL77qTh5LRSBN2wIvIB/ON9RmnC+ozTJTvH5Xpy8FnhJAwAAAOAnAi8AAADSGoEXAAAAaY3ACwAAgLRG4AUAAEBaI/ACAAAgrRF4AQAAkNYIvAAAAEhrBF4AAACkNQIvAAAA0hqBFwAAAGmNwAsAAIC0RuAFAABAWisb9AGEked57uvq1atTsr/s7Gxbv369219WVlZK9gkEhfMdpQnnO0qT7BSf75GcFslthSHwJrBmzRr3tV69ekEfCgAAALaR26pWrVrYKpbhFSUWlzK5ubm2cOFC23nnnS0jI6PQdY888kj7+uuvt7nNwtbTJxSF699++82qVKli6aqor9WOegzJ3HZJt1WS5xXnOUVZd1vrcL6nxzEka9vbsx3O9/DgfPd/O5zv+SnCKuzWrl3bMjMLr9KlhTcBvWh169Yt0rplypQp0i+1KOvp8XR+Qyzqa7WjHkMyt13SbZXkecV5TlHWLer2ON937GNI1ra3Zzuc7+HB+e7/djjfE9tWy24Enda2U7du3ZK6XjoLw2vg5zEkc9sl3VZJnlec5xRl3TD8nsMgDK/DjnC+b892ON/DIwyvA+f79j2nW5qf75Q0hIAuAegTyqpVqwL/hAz4jfMdpQnnO0qT1SE+32nhDYHy5ctb79693Vcg3XG+ozThfEdpUj7E5zstvAAAAEhrtPACAAAgrRF4AQAAkNYIvAAAAEhrBF4AAACkNQIvAAAA0hqBdwej6fpOOOEEa9SokTVu3NhGjBgR9CEBvjn77LNt1113tfPOOy/oQwGS7v3337eGDRvafvvtZ88++2zQhwOk9fs5w5LtYBYtWmRLliyxJk2a2OLFi61p06b2888/W+XKlYM+NCDpJkyY4OZJHzZsmL3xxhtBHw6QNFu2bHENF+PHj3cD9eu9fNKkSVatWrWgDw1Iy/dzWnh3MLVq1XJhV2rWrGnVq1e3v/76K+jDAnyhqxk777xz0IcBJN2UKVPsoIMOsjp16thOO+1kp512mo0ZMybowwLS9v2cwJtkEydOtLZt21rt2rUtIyPDRo4cmW+dgQMHWoMGDaxChQrWvHlz98ZXElOnTrWcnByrV69eEo4cCO+5DqTb+b9w4UIXdiP0/R9//JGy4wdK2/s9gTfJ1q1bZ4ceeqj7xScyfPhw69mzp5t6b9q0aW7dNm3a2NKlS6PrqAX34IMPznfTG2SEWnU7duxozzzzTEp+LiCocx1I1/Mf2FGsS4fzXTW88Ide3rfffjvPsmbNmnndunWL3s/JyfFq167t9e3bt8jb3bhxo3fcccd5L7zwQlKPFwjbuS7jx4/3zj333KQdKxCG8/+LL77w2rdvH328R48e3ssvv5zCowZS/34f5Ps5LbwptHnzZleG0KpVq+iyzMxMd3/y5MlF2obOtcsvv9xOOukku/TSS308WiDYcx1I5/O/WbNm9sMPP7gyhrVr19qHH37oWsSAHc3mHeT9nsCbQsuXL3c1tzVq1MizXPc14kJRfPHFF+7SgepndDlYt+nTp/t0xEBw57roDfP888+3UaNGWd26dUP15glsz/lftmxZe+SRR+zEE0907+M33XQTIzQgrd/vWwX8fl42pXvDdjv22GMtNzc36MMAUuLjjz8O+hAA35x11lnuBpQGHwf8fk4LbwppCLEyZcq4cXRj6b6GGAPSBec6SjPOf5Qm1XeQ853Am0LlypVzg4uPGzcuukyttbrfokWLQI8NSCbOdZRmnP8oTcrtIOc7JQ1Jps4Hs2fPjt6fO3euffvtt7bbbrvZnnvu6YbtuOyyy+yII45wnRYGDBjghvvo1KlToMcNFBfnOkozzn+UJmvT4XwPZGyINKYhN/Syxt8uu+yy6DpPPPGEt+eee3rlypVzQ3l8+eWXgR4zUBKc6yjNOP9RmoxPg/M9Q/8EHboBAAAAv1DDCwAAgLRG4AUAAEBaI/ACAAAgrRF4AQAAkNYIvAAAAEhrBF4AAACkNQIvAAAA0hqBFwAAAGmNwAsApUyDBg3c1J/FlZGRYSNHjvTlmADATwReAAjQ5Zdfbu3btw/6MAAgrRF4AQAAkNYIvAAQUv3797dDDjnEKleubPXq1bNrr73W1q5dG3186NChtssuu9j7779vDRs2tEqVKtl5551n69evt2HDhrnShV133dWuv/56y8nJybPtNWvW2IUXXui2XadOHRs4cGCex3/55Rc7/vjjrUKFCtaoUSMbO3ZsvuP717/+Zfvvv7/b795772133XWXZWdn+/iKAEDJlC3h8wAAPsvMzLTHH3/c9tprL5szZ44LvLfeeqs99dRT0XUUbrXOa6+95kLsOeecY2effbYLwqNGjXLPO/fcc+2YY46xDh06RJ/Xr18/u+OOO6xPnz720UcfWY8ePVx4bd26teXm5rrt1KhRw7766itbtWqV3XDDDfmOb+edd3ahu3bt2jZ9+nTr0qWLW6ZjBIAwyfA8zwv6IACgNNfwrly5skidwd544w275pprbPny5e6+wmanTp1s9uzZts8++7hlevzFF1+0JUuW2E477eSWnXrqqa61d9CgQe6+vj/wwAPtww8/jG77ggsusNWrV7uQPGbMGDvjjDNs/vz5LszK6NGj7bTTTrO33367wJrjhx9+2AXvb775JgmvDAAkDy28ABBSH3/8sfXt29dmzpzpwuiWLVts48aNrlVXZQSir5GwK2qVVaCNhN3IsqVLl+bZdosWLfLdj4zcMGPGDFdCEQm7idaX4cOHu9blX3/91ZVa6PiqVKmSxFcAAJKDGl4ACKF58+bZmWeeaY0bN7Y333zTpk6dGq2z3bx5c3S9rKysfEOHJVqmMoVkmjx5sl188cV2+umnuxri//3vf/bvf/87z7EBQFjQwgsAIaSAq5D6yCOPuFpeef3115O2/S+//DLffZU5iL7+9ttvtmjRIqtVq1bC9SdNmmT169d3ITdCJRAAEEYEXgAImDqFffvtt3mWVa9e3Y148MQTT1jbtm3tiy++iNbgJoO299BDD7l6XI3AMGLECPvggw/cY61atXId2C677DLXuU3lFLHBVvbbbz9bsGCBq9k98sgj3XNV3wsAYURJAwAEbMKECXbYYYfluanjmYYle/DBB+3ggw+2l19+2dXzJstNN93kOpdpX/fdd5/bV5s2bdxjalFWeN2wYYM1a9bMOnfubPfff3+e55911ll24403Wvfu3a1JkyauxVfDkgFAGDFKAwAAANIaLbwAAABIawReAAAApDUCLwAAANIagRcAAABpjcALAACAtEbgBQAAQFoj8AIAACCtEXgBAACQ1gi8AAAASGsEXgAAAKQ1Ai8AAADSGoEXAAAAls7+H2gyfp5vnhn2AAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, { "name": "stdout", "output_type": "stream", "text": [ "\n", - "Coefficients: [0.01428908 0.03017683 0. 0. 0. 0.\n", - " 0. 0. 0. 0. 0. ]\n", + "Coefficients: [0.0265547 1.07827536 0.48434236 0. 0.21617361 0.17613676\n", + " 0.06033601 0.21058108 0. 0.09924649 0.02375587]\n", "\n", - "\u001b[96m\u001b[4mAUC ROC\u001b[0m: 0.7998665183537264\n", + "\u001b[96m\u001b[4mAUC ROC\u001b[0m: 0.7974638487208008\n", "\n", - "\u001b[96m\u001b[4mBalanced accuracy\u001b[0m: 0.6983314794215796\n", + "\u001b[96m\u001b[4mBalanced accuracy\u001b[0m: 0.7380422691879867\n", "\n", - "Accuracy: 0.6933\n", + "Accuracy: 0.7367\n", "\n", "Classification Report:\n", " precision recall f1-score support\n", "\n", - " 0 0.79 0.55 0.65 155\n", - " 1 0.64 0.85 0.73 145\n", + " 0 0.77 0.70 0.73 155\n", + " 1 0.71 0.78 0.74 145\n", "\n", - " accuracy 0.69 300\n", - " macro avg 0.72 0.70 0.69 300\n", - "weighted avg 0.72 0.69 0.69 300\n", + " accuracy 0.74 300\n", + " macro avg 0.74 0.74 0.74 300\n", + "weighted avg 0.74 0.74 0.74 300\n", "\n", "\n", "Confusion Matrix:\n" ] }, - { - "data": { - "image/png": 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G77XXXiuy3ZqFYdu2bUXuW7lype/iiy/2VatWzTy+Z8+ehTMghNG6deuAmTPy8vJ89erV8w0bNiyq53bM9Ok6Glyn2nDvOQBEhQovAKSQ0aNHmx5e+2ppuqKbVoCLe7Mv2xxsx44dpg2gevXqEZ2DrmSnz79nzx7T2hBNO4VWZqtUqWLO+bvvvjPnppVZnYc4FN2uVWVd9cySmZlpbse7Wh2A1MHCEyHomujar6Y/dPWHPAAkg/IHD0q2iIT7qaQBT3tXe/ToYQLsrbfearafcsop8uOPPxZ77Nq1a4fcvn//ftPTq0s7a/9rcebPn28Crj5Gg6ouBd2sWbOoWhP05+9rr71W8LP3zTffNEF72rRpZiniYLp4hwbs4PPX2wt1VgsP7d69W/J1tgYArtCZdXXBIh1roH/oFofAG4KG3Qb2VXwAIAk8LyI3NGsm4WZ2HTFihJx//vkydOhQs/rckiVL5JhjjpEKFSqY99HSiqvO+qC/VHRQWkmaNm1qgrVWhMeMGSNXX321TJ8+PeLQ+9NPP5lz1mKDnQboP/74w1R9u3XrVrD95ZdfNn3Lyepk/R54fRJAGli1apUZR1AcAm8I1g9b/QKWVNFwgv5SmTRpkqleZGdr/QZIXVzvsSs/eLBkB80+YNGfVzrAbPLkyXLyySfLCSecYKq8OpArOCiGouFRl0AODrsrVqyQr7/+OqKfhWXLli0I1q1atZIffvhBRo4caY4daUVUHxeqvUKXldbj2yvVWsUtV66cZGVlyYYNGwL219u6bLSX/jdvnhw48kiud6SN3AT/fN+5c6cpUAb/kRwKgTcE66U0a3qdRFwgFStWNM/FD0SkOq73OBSzatcLL7xgpgXTqbfUFVdcIW+88YYJvNG2NFhh9/fff5epU6fK4YcfHtPpanvCgQMHIt5fq9La1lCrVq2wP3tDVao1JE+ZMkV69+5d8Lx6+5ZbbhEvaVtHuapVud6RNnI9+vkeSfspgRcASjmdcuvVV1+V55/Xpgc/rdbqFFza09u6deuIWxr0F1afPn3M9F5ffPGF6Y9dv369ue+www4zVVZ1zjnnyAUXXFAQKu+9915TRT7yyCNNT937779v+m4nTpxYcGw9jr5p24LV86uVGX2MHlvP+emnnzbTmT388MPmJUqtMGvl+u677w77kqVOSabtExrs9XPV1g4dMNevX7+InxtAaiPwAkAp9/bbb5uqilZlLfoyn1Z73333XRMCI7VmzRqzeIVq2bJlwH1a7bUqyNpTqwPGLDrnrS5QsW7dOqlWrZqpNmvY7dy5c8E+L730kukvtpx55pkFA9OuueYa8znMmDHDDJK78MILTXCuX7++CdfFvdrWt29f2bRpkwwZMsSEWj3vCRMmBFStS3puAKktQ+cm8/okko32hOgPbB14kaiWhnHjxkn37t15yQspj+s9DlpN/fZbkRLaE+CxGTNEOnQQWbxYchs25HpH2shN8M/3aPIaFV4AAJBQ2iqj4QipJTc3V8qUKWNmVtHvcbw0NOugVCcQeAEAQELoi8radrJ9+3avTwUufX91dhSdNcapdQx0Hm49ZrzHI/ACAICEsMKuzsShPdss7pRa8vPzzfSCOkNJSQtBRBKedUCujg9QdevWjet4BF4AAOA6fYnbCruxTnWH5A+8Bw8elPLly8cdeJUumqM09Op1E097Q/xnAwAo1XTmhUGDBnl9GkhxVs+uVnaBSFnXS7w93wReACjFevToIeeee27I+3SFNX3J+Oeff5Zkp4NcBgwYYCp/+nLoRRddVGT1tGD6uYV607l8LQ0bNixy/xNPPBFwnI8//thMZaa/WI866qiAx1t0TmFdGENXdtM5jUePHu3gZ59eaGOAF9cLgRcASrHrrrvOLCe8evXqIvfpHLO6GIPOiZvsbr/9dvnPf/4jn3zyiUyfPl3Wrl1r5uItjs75a3/TleX0l6OGZTtdxMK+36233lpw3/jx482CF//3f/8nv/zyi7z44ovyj3/8w6xcZ1m2bJmcd9550rFjR7NinVbDr7/++oBFNQAkNwIvAJRi559/vhxxxBFFKo46cETDoy63e+mll5oFHLSCedJJJ8kHH3xQ7DE1NI4dO7bISGn7c+gobF3oQrfrSmW6Otry5ctj+hx0Ds3XX39dhg8fLmeffbZZKljD+syZM2X27NlhH6cjt+1v//73v00obdy4ccB+uqKafb9KlSoV3PfOO++Yr5EGXn2cBltdNe7JJ580g2asRSsaNWokzz77rBx//PFmdTldjU6DMYDSgcALAKWYznmpK5xpGLWvI6RhVwcJXXHFFSZAfvnll6aCecMNN8iVV15plhyOlfbSde3a1QRJbZv47rvvTBuCtlbogBX13nvvmW3Fvelj1dy5c80xO3XqVPAcxx13nFn2d9asWRGdk7Y/6OeoFe9g2sKgrRInn3yyaVc4dOhQwX0HDhwwA2yCB8poxVyXNVZ6DvZzU/r5R3pucJZO7zptmoj+3abvHZjutUS6Gp/+Iah/GAXTVhy9jxX7khuzNABAabBvX9i7rr32WhPktBXAWvpXK6T60r72pA4ePLhgX305X1+K177VaJYctvvoo4/MaOzXXnutoL9On0+rvdrr2qVLF+nZs6e0adOm2ONo1dmaqqps2bLm8Xa6NLDeF4m33nrLBPDgNojbbrvN9N5qFVorxlq91bYGrSZbwVXbKTSsaHV4yZIlppKrdD/tAdZzsC9TbJ2brvK0b9++gpHkcN9nn4kMHChi7+DJyREZOVKkhA6YuOly3R9++KGp7Fvfc+09f//9980fZ8ns4MGD5v9YOqPCCyCi6kk024vbd/r0DJkxo755H+sx3Dy/hB7jYJ78OGKazLz1A/NebxeRny/y6KMilSuLbNsW8num1dDTTz/d9LAqDW1aPdVqp1Z5H3nkEdPKoKFPK6saeFeuXBnzNfLTTz+Z59CAaVVr9dj6y/+PP/4w++h9OriruDcng6J+7tqLG1ytveOOO8wfAdrHrNU5DbPPP/+8qeyq/v37mxYFbQ3RQHDaaafJJZdcYu5zYlolOBt2+/QJDLtqzRr/dr3fTfqHk4bez2xPpB9r2NVXDyz6x+CwYcNMG4xe4y1atJAxY8YU3K//J/X/pnV/06ZNZaQmdhv9w1H/INX2G/1DsF27dgWvOOgfZ9qGY6d95dYfu0o/1utat9esWdP8Yaf0VZ5u3bqZ/7P6R5u+2rN582ZJB1R4AZRYPbn0Un9Qi2S7Nb3mli3h9tUfO6eIFthiP4ab55eYY1xV+TN5fO9AaZlfuHHt4BxZecdIOe2pP0tV+ovoyitFdHDU3//uvx2G/gLV6u2oUaNMtfXoo4+WDh06mF5U/WU6YsQIE3r1F6j+ErRaD0LRqq29PSJ4SiDtD9Y2CW1bCKb9xErvu/HGG6U4OmCsffv2pq9Wz0fnaLVXebVNQe8riYb7RYsWmcpzSbTqrC0N2m+sQUM/V/0aPf7446aSq+c/ZcoUs6/VC6znEDxjhN6uWrUq1d046CW2d29k++ofiLfd5n9MqOPoCw36s0s7TyKZqlVnuopl8L++mqL/v/SPK+sPrX79+pmAatGw++6775re7yZNmsiMGTNMa5FeW/p/UgNxTk6OaTvSVht95UFbjXRhBe2L1+tTA63+Mab99vp/Q1uQop2tQF/1uOmmm0zLkdL/X9ojrwMutUqtr07cc8895jm//vprSXk+FLFjxw79L2XeJ8LBgwd9Y8eONe8Br3z6qc+XkaG/Onhz++0C+dSXJxm+vKA7/NsyfLPu+tTnmzXL52vQwOerWdPnmzjR/00aMMDna9Ei5Pdv165dvsqVK/teeuklX05Oju+xxx4z288//3zftddeW7BfXl6er0mTJr5evXoVbOvQoYNv4MCBBbdr1arlGzVqVMHtxYsXm5+Jb775prn9yiuv+GrUqFHsz8idO3f6fv/992Lf9u7da/bdvn27Lzs72zdmzJiCxy9cuNA85yz9OpTg6quv9rVq1coXiXfffdeXmZnp27p1a9h9rrzySl/btm0Lbt99992+E088MWCfSy+91Ne1a9fQB5g+3f89XbyYn+82+/bt8/3222/mvdq927v/g/rc0dBrTP/PbNy40VeuXDnf8uXLzVv58uV9mzZtMvfpPvv37/dVrFjRN3PmzIDHX3fddeaaCWfAgAG+iy66yHy8ZcsWc+1Pmzat2HOx0/+/+v/Yoh+ffPLJAfs88sgjvi5dugRsW7VqlXmuRYsW+ZygP1+2bdtm3rt13cSa16jwAjDVE62OhKqewFmZkicjZaD+jC7SU5YpPsmXDDnxmavF9+xeydA2hjJlRCJoP9CXKPv27Wt6VLW31BpAoxUmfTlVq0g1atQwvatanWzWrFnYY2kVSKflatu2rXn5VatA2dnZBfdrdUt7hnVmBp3yS6tV+nKrvrx79913m9va0qBvkahWrZqpUGv7gbZGaOVUq9X6/NpiYG/d0OrZBRdcULBNP1etlFl9t3Y6qOz77783vbl6Lnpb+3W12qZfC6Uv5+rXR18C1pYMrd5ZU6NZtBVCvx76uWmFT6th2gOtg+SQXrRKqzN5WINE9WNtGbBoq48uh9u5c+eAx2mV1t72oK/EaHVYW4u00qr361zQSv8P6P9fbUPQ4+iASa3CRru0rr4KE9yKNHXqVPOzIpi2Ih177LGSygi8AEQHy4eYxhUuaC/fSAMJ/8XW0FvZt1vzsPYRiOgvIX0pc+fOEo+toVGn9+revbvUq1fPbHvggQdk6dKl5penTkumL53qy6U6FVg4Gh71ZVptN9DjaEuEzqRg0ePoy7QahHWQ2K5du8wAtHPOOceE1VjoS6zaM6sD7bS/Vs9X58S107aF4PPWQUQaPHTqtWC6SITe/9BDD5ljas+kBl4N1sEv/erAPj2Ohmyrf9Kij9Nwq4/Vr4UGeh2wZ/VFIjbaVrB7d2T7zpgh0r17yfuNGydy5pmRPXes9I8e7Y+1gqudtvsovV6sQZn261HpNanXm/4/0+tN/xjTPyD1jzOL/uGlAy4nTJhgWnX0/7HOt61/AOr/k+Jajiz26fesc9OFarSFJ1i0Ybo0IvACkHXrvD6D9FFXIvti/9rzb3JC4/3a6Cpy/fVaZtSpAURs1aRg+ssz+BehVouC59QNZu8/VBpygxdV0P4/O+1r1aDoFB1spuEhOEDYBX9uSgO8voUbZFTcPL5Kq3ORTC+mFeD//e9/Je6HyOnfcUGZLKwuXfz98DpALdQrUXosvV/3i6SHNx7W9HvaUxv8R4++cqLBViu32q8bivbU6iDTm2++uWCbNdjTTivC+qav2uj/bZ0NQgOvVpl18JmdLohifxUm3P+HTz/91Mw8otMZphuGoAKQNPjjPmmsk8i+2Lkdu2rZU2ThQpGlS0Wee05Eq6f0nSANaYi1JjIIHrtl3R4xwv2w6z+XLFmwYIH89ttv5mM7rdZq9VZfDdA/CDXIzps3z8wMYv2BqG1G//3vf80flYsXL5a///3v8sMPPwSs7KchV/8Q01ahSZMmye+//24WPbFajvTxb7/9ttn+4IMPFgnAoQwYMEC2bt1qXg3R59Nz03PQV3O0dSnVEXgBSPv2/uoIS9y77xtpL6skx/TqhqLb12Q1kJNubl+4sVEjkZtu0t90fJOQtnSeXZ3dK6hTwPzs0u1uz8Nrp6074dp3dBpADbHab64hVSvC2uKgrTFKZy/RViDtuddZQ7Zs2RJQ7dWWoYULF5r2Hu2r1VcwNKxas55oVVmPrz3lp556qmkp0sVnSlKvXj1TXdZwq3Nl66wtOmOLzoySDlPwZejINa9PItnoIAgdRKG9YrH2o0VDe2/GjRtn+u5KekkCcHuOS8VPBXddIJ/JGOlT0LNrsULwnLvGFE5NZnf77f4WB636InlNmqSpRGT5csmtV4+f73/SQYFavdTgFzxfcjS0GKnjDrQVS1+d0j/YE1HZRcl0yjXNUJqdnArRxV030eS11I/0AOKqnjRoIHLXXf4qSiTbdY5aa55aL4+RzOf3L7lQ+lUeI+syA7/Y67JywoddpQPYtNdv69bQ9yM56LLN2pwawRzCiJ6GW11jQccp6nvCLiJBhTcEKrxIZ1o90dCr8+zrIHkdD6S/UMJVVUJtV+H2nTr1kIwf/6N069ZSOnYsE9Mx4t3uxLEdOUZenjza9RtZOG2dHN+xrtw/ob1klS3mt7cus6uzLwwapFMp0N6QjHRUVdu2Iu3amdVG+PnufIUXySs/iSu86TdMD0CxNJxZOer00wurJ1ZVJdT+obaH27dDB5/s2bNGOnRoUeKxo3k+p84vocfIypL9p50lH04TGdRCJKukpe61YqhBV6fV0tWTzj/fP2sDwdd7Oi3Ur7/6XybR6u7jj3t9RgCSLfDqNDQ6B50u66hrTutoRvsciMFTw9gnBLfoX8/WJOA6YXPwdDna5K3z2QEo2YED/vdlSwpgiJs1O9ChQxE+QPt4dcnb0aP9szhEMD8vEvSN1P6Vfv1Ebr1V5MgjvT4jAMkUeHVCZZ0EXNec1tGKut67hlOdYLxWrVpF9teVfOxrwOvoRg3JF198ccB+OipSJ24OnvAZQMms/2L8t0nCwKt69fK/AQAi4vmgNV3msn///mYeOJ2wWYOvTsmhS+6FopOo64Tn1puuPKL7BwdeDbj2/axlJAFEXuEl8LrPausMsVASACAVAq9WanW5Sl0nuuCEMjPN7UhWvlG6jOYll1xSZAk9XTlIK8RNmzaVm266yVSCAZQsP7+w2kjgTdIKLwCg9LQ0bN682UyAXFuXy7TR2zrpcknmzJljVhfR0BvczqCTOuuIPl1J5L777pNu3bqZEB28KorSNdb1zT7qT+no2lDrUzvNeo5EPBdQkn379F9/2TEzU/8POHt8rvdA/pHMWXLgQL7k5qb+akfphuu9kH4NdGIoHcmvb0g9vj8n/rK+z07Q4+jx9PoJznDR/L/yvIc3Hhp0daWQ4AFuWvG16P3NmzeXo48+2lR9zznnnCLH0dVQhg4dWmS7Luen7RKJou0ZgNd279YfC+eZj7/+eoJkZ7vzi4nr3W/RIl19qbmsWrVOxo37r9enA5dwveurGWVMi+Hu3bsDxuIg9ezatcuxY+m1sm/fPpkxY4YcCnopbO/evaUj8NasWdOk9Q064aeN3tb/FMXZs2ePfPjhh/Lwww+X+DyNGzc2z7VkyZKQgVfXrNaBc/YKb4MGDczSe4mah1d/GHbu3Dnt52mE9+z/HXv2PNfxGa+43gOtWuXvLDviiLpmthmkFq73wPlUV61aJZUrV2Ye3hTl8/lM2K1SpYpkOPTLQ6+bChUqyJlnnhlyHt5SEXjLli0rrVq1kilTpkjv3r0LStd6+5Zbbin2sZ988olpQ7jiiitKfJ7Vq1ebHt66Ott7CDrALdQsDvrDKZE/oBL9fEAo1lI0OiVZ2bLuXY9c737Wz++8vEzJzvZ8HDFcwvWu13ieCUHaxuPUogSJYE11euONN5qB9XYDBgyQF198Ua6++moZrVMFukSPrYP7jzvuOFmwYEGRPPTXv/5VjjrqKFm+fLl4Kf/PNgbr++wEPY4eL9T/oWj+T3l+xWll9dVXXzUXk34TdYCZVm/1G6uuuuoqU4EN1c6gIfnwoPU99aWSu+66S2bPnm2+8Rqee/XqJcccc4yZ7gxA8ZihIbEYtAZESZctnDbNrGRn3uttl+mrvvqqsr60bq88vv/++3JkguZc1sH5GzduLDKoX/NQos4hHl63sXgeePv27SvPPPOMDBkyRFq2bCk//vijWSDCGsi2cuVKWadrcdroHL3ffvutXHfddUWOpy0SP//8s/Ts2VOOPfZYs49Wkb/55hvm4gUiQOBNLKYlA6Lw2WciDRuKdOwoctll/vd6W7e76C9/+YsJvboWQOGpfGaC5sknnxywr2aYM844Q6pXr26Kcueff74ZQG95++23TVvH77//XrDt5ptvNtXb4npStQf6sssuC5i2VV/B1vFJuj3Yv//9b3Pe2gbQuHFjM1bJ3gOr08LqOCcN0vq56Tlo0dCyYsUK6dGjh5nWVfc54YQTzDLZVsVZPz+7sWPHBgwqe+ihh0yue+211wKWBd6+fbtcf/31csQRR5i20bPPPlt++ukncVtSDFrT9oVwLQz6jQymU41ZIwGDaZ/HxIkTHT9HIF0QeBOLCi8QIQ2bffoU9l1Z1qzxb9dlnS+80LWnv/baa82CVpdffrm5rcFTX40Ozin6KrW+eq0D5jVAakHvggsuMAU9fXleX7n+4osvzHFmzpxpMouGQq3cljRQXs9BV5wdOXKk2VeDp85MFTzblRb59Hmee+45ad++vQncN9xwg7nvwQcfNO/1XPR+DaNLly41gffuu+82LRpWu4ZWZXWwmAbe3377zQT1aOjYqU8//dT8cWCFYV03QbPa+PHjpVq1avLyyy+b8VWLFy82ay2kbIUXQHJhWeHEIvACEdC2hYEDi4ZdZW0bNMjV9gYdM6SvLmvlU9++++67kOOILrroIjM1qrZSaoVTg/H8+fNNYLRoyNNXr2+77TbzSrRWQ/XV6JJoNVmrtWPGjDGFPw28GoKDaTX3b3/7m+kt1v07d+4sjzzyiHley6BBg6Rjx47SsGFDU2V99NFH5eOPPy64X19hb9eunakC6zG0Uq0Dx6KhgVkr2nre+geAfv10SlntOz7llFOkSZMm5lV+rRbr55TyFV4AyYMKb2LR0gBE4Jtv9PX78Pdr6F21yr/fWWe5cgr6Evx5551nQqaGTf1YZ4AKpq0KWtX9/vvvzXoD1kAuDZAnnnii+VjbBLT3VscWnX766SacRltp1nYKrSbr7C4vvPBCwD7aIqCB/LHHHgsYNLh//37TNqHV4a+++spMy6rrHuhsB9ruYL9fw7iOq9IpWnVBMA3yGlqjoQPp9OtmPy+tegePv9LeaHvbhxsIvAACWOMKCLyJQYUXiEDQWJ6494uRhk2rBXPUqFEh99G+Vw16OiC/Xr16JvBq0A0etKWtAvoyv1Z6NbjqVF6R0FYIbT3QqvCVV15penuDaajUKq9WmoOVL1/eDOrXiq0GWg3F2kpgjY3S89TAq322Gsi//PJLE3o1HD/77LNy6623mnaI4NbSUItABK+Cq+elM2aFalcN7gl2Gi0NAAJQ4U0sAi8QgTDTisa8X4y0X1YDoYa7UDM/6RSoOrD+gQceMH2pxx9/vGzbtq3Iftq7++STT8p//vMf0xdb0lSsdhpOdWD+9OnTQ7YzKB2spuehbRXBb5mZmTJ37lwTxDXAnnbaaWaQ/9q1a4scRwez/d///Z/pwb3zzjtNiFdatdX5djWoW7RHuSR6XuvXrzchPfi8QlXLnUSFF0AAAm9i0dIARKB9e5GcHP8AtVB9vLrIgd6v+7lIK7LWPLjBy9xarQr6cv0rr7xiKpnaxhDcrqBBUSuz2jLQrVs3ycnJkVNPPdVUhvvo4LsIaFuFDi4Lbg2waEuFVnC17UGPmZmZadoJfvnlF9OrqwFTQ/vzzz9vnlfbH4LnGNYeXz0/DcMa2qdOnWoCvGrTpo2pAt93333m89D2jUjmIdbWiLZt25ppZZ966qmCoK1VZB3Yp329bqHCCyAAgTexqPACEdBwOXKk/+PgFbys2yNG+PdzmU6lFW4VVg2WOl+vVlC1jeH222+Xp59+OmCfgQMHmpf6H3/8cXNbB4Xpx7qwxRoN9BHQWQ7ChV2l1WedCUJbETRMn3baafKPf/zDtFqoFi1amGnJtMqs5/nee++ZlgU77fnVmRo05GplW8OpNYODVpnfffddM02Znv8HH3xgWixKogtI6GN08JvOcKHHvOSSS8wgwOCZJpyW4Qs3v1ca0+ZtnSpjx44dCVtaWC8AbTxP95V44D2d4lGnuNZVbr/80vnjc70Hmj1bpG1bkUaNRJYu9fps4DSu90I6IGrZsmUBc7LGNDWZztZgH8DWoIE/7Lo4JRkio20SmqE0Ozm10lpx1000eY2WBgABGLSWWFR4gShoqO3Vyz8bgw5Q055dbWNIQGUXpRuBF2lPp23kZ2chWhoSi8ALREl/QLs09RhSF4EXaS3Uq2M67kFbxdL11TECb2IxaA0A3MegNUi6r1IZPJe5tUqly0uzJy0Cb2JR4QUA9xF4kZaSYJXKpEXg9SbwUuFFumCsPLy4Xgi8SEvRrFKZroG3bFmvzyS9Whqo8CLVWbNU6NK1QKSs6yXeWU7o4UVaSpJVKpMSszQkFi0NSBe6UIMuH7tx40ZzWxcu0HlZkVrTkh08eNBMJRbvtGRa2dWwq9eLXjehFvqIBoEXaSlJVqlMSrQ0JJZVtND2GX1lgd//SGV16tQx763Qi9Ti8/lk3759ZmEMp/6Y0bBrXTfxIPAiLSXJKpVJicDrTYXXqvKm+doESHEagnTJ3Vq1aplFOZBacnNzZcaMGWYlNScWWtFjxFvZtRB4kdarVOpsDBpu7aE3watUJh0Cb2IReJGONMQ4FWSQPLKysuTQoUNmRbRkW1mQQWtIWzrP7pgxIkccEbhdK7u6nXl4vT6T9GD/nUDBCwDcQYUXaU1DbeXKIl27+m8PHy5y223pWdm1MEuDtxVeAIDzqPAi7VmzEqimTdM77CpmaUgs+/VGhRcA3EHgRdqzTwnJ9JC0NCSa9owzNRkAuIvAi7S3b1/hxwReAq8XCLwA4C4CL9KePfDaP05XBN7Eswau0dIAAO4g8CLt0dIQiMCbeFR4AcBdBF6kPVoaAjFLQ+IReAHAXQRepD0qvIGYpSHxaGkAAHcReJH26OENREtD4lHhBQB3EXiR9mhpCETgTTwqvADgLgIv0h4tDYEIvIlHhRcA3EXgRdqjpaGQz0fg9QKBFwDcReBF2qOloZD9JXVmaUgcWhoAwF0EXqQ9WhqKztCgqPAmDhVeAHAXgRdpjwpvIaudQRF4E4cKLwC4i8CLtGcPuenew2sF3qws/xsSgwovALiLwIu0R4W3EAPWvEHgBQB3/fljFqVFXp7IN9+IrFsnUreuSPv2VOLiReAtxLLC3qClAQDcReAtRT77TGTgQJHVqwu35eSIjBwpcuGFXp5Z6UZLQyEqvN6gwgsA7qKloRSF3T59AsOuWrPGv13vR2yo8BadpYHAm1gEXgBwF4G3lLQxaGVXFwUIZm0bNMi/H6KjXz97yNXAl86hgwqvN2hpAAB3EXhLAe3ZDa7sBoe2Vav8+yH2abgs6dzWQOD1BhVeAHAXgbcU0AFqTu6H4sMtgZfAm2hUeAHAXQTeUkBnY3ByPxSy2hm0wlahQuC2dMQsDd6gwgsA7iLwlgI69ZjOxpCREfp+3d6ggX8/RMeq5mrYrVjR/zGBlwpvohF4AcBdBN5SQOfZ1anHQrFC8IgRzMcbb+C1Krzp3NLALA3eoKUBANxF4C0ldJ7dMWMKK0EWrfzqdubhjY1VzdXqLhVeKrxeocILAO5i4YlSRENt9eoimzf7A8mECcm10lppXAXOXuG1Qh6Bl8DrVeClwgsA7iDwliL5+SJbtxYGkzPPFMlMkhp9aV0Fzgq3GnjLlw/clo4IvN62NFDhBQB3JElcQiS2b/eHXsuePZIUSvMqcFaFV9sZ6OFllgav0NIAAO4i8JYiW7YE3t61SzxX2leBY5aGQFR4vcGgNQBwF4G3FNHeXbudO8VzpX0VOAatBWKWBm9Q4QUAd9HDW4oDbzJUeEv7KnD2Cq/Vw0tLA4E30Qi8AOAuAm8pkoyBt7SvAmcftMZKawRer9DSAADuoqWhFEnGwKtTj9WvX/w+ybwKnH3QGi0NBF6vUOEFAHdR4U3DHl4n5su1H+OYY/wzMoTTrVvyzs/LoLVAzNLgDSq8AJAGFd5Ro0ZJw4YNpXz58tKmTRuZM2dO2H3POussycjIKPJ23nnnFezj8/lkyJAhUrduXalQoYJ06tRJfv/9dyntnKjw6hRhDRuKdOwoctll/vd6O5qpw4KPMX26f3vlyoH76SIZ6tVX43u+RA1aY1oyKrxeocILACkeeD/66CO544475MEHH5R58+ZJixYtpGvXrrJx48aQ+3/22Weybt26grdffvlFsrKy5OKLLy7Y56mnnpLnnntOXnrpJfn++++lUqVK5pj79++XdA68TsyXG+4Y1rzAQ4eKvP++yNSpIi+95N8ePGVZMs3PS4U3ELM0eIPACwApHniHDx8u/fv3l379+kmzZs1MSK1YsaK88cYbIfc/7LDDpE6dOgVvkydPNvtbgVeruyNGjJAHHnhAevXqJc2bN5e3335b1q5dK2PHjpVUmIe3Xr3oA68T8+UWdwzLa6+J/PWv/raFwYND75NM8/PaB60ReKnweoWWBgBI4R7egwcPyty5c+Xee+8t2JaZmWlaEGbNmhXRMV5//XW55JJLTBVXLVu2TNavX2+OYalWrZppldBj6r7BDhw4YN4sO/9sjs3NzTVvbrOeo6Tn2rRJv10Z0rBhvqxdmynbt+dJbq5t6bViTJ+eIatXlylxvtypUw9Jhw6+uI+h4n2+RNizR5uJM6VcuUN/ho4ysndvvuTmJulKGS7bv9//9cjKOiS5uT5Pr/f0kmGuPf3/nK7XXqriekc6yU3w9R7N83gaeDdv3ix5eXlSu3btgO16e+HChSU+Xnt9taVBQ69Fw651jOBjWvcFGzZsmAzV1+KDTJo0yVSPE0Wr1cVZt+5crb1J2bI6QqyBLFiwRsaN+19Ex54xQ6dSOKXE/caP/1H27FkT9zH84nu+RFi1qq2I1JJFi36S8uU1aLSWNWu2ybhx30o6Wr/+DBE5XH79dZ6MG7fO0+s9ncyfry/bnCobN26VceO+8/p04AKud6STyQm63vdG8ZJsqZ6lQYPuSSedJK1bt47rOFph1j5ie4W3QYMG0qVLF6lataok4i8UvTg6d+4s2dZrm0H0pf/du/3frnbt6sm0aVq5zpHu3SOb4LZSpQwZPrzk/bp1aykdOrSI+xgq3udLhKee8k8X0bZtC/nzRQIpV+4w6d69u6Sjhx/2fz1OO+0v0r27z7PrPd3k5mqFV6RKlfS99lIV1zvSSW6Cr3frFfmkD7w1a9Y0A842bNgQsF1va39ucfbs2SMffvihPPzwwwHbrcfpMXSWBvsxW7b0B7Fg5cqVM2/B9JuVyB9QxT3fjh2Fva+NG/tDyZ49mZKdHVkbts6OUKuWSJixgJKRIZKTo/uVCTtlmB5D99FBZ6H6eO3HUJHu6+UUZdY4xipVyhTMMrFvX0ba/mKyBq1VqlSmoK/ULYn+/5XMrFX+8vIi/z+N0oXrHekkO0HXezTP4elP1rJly0qrVq1kypQpBdvy8/PN7bZt9aXm8D755BPTd3vFFVcEbG/UqJEJvfZj6l8AOltDSccsDTM06FRfNWrENg9v8LRh9vCpRowofn5cvW/kyMiOYd/Xui/a50v0LA1MS8YsDV5h0BoAuMvzUoK2Erz66qvy1ltvyYIFC+Smm24y1VudtUFdddVVAYPa7O0MvXv3lsMPPzxgu87JO2jQIHn00Ufl888/l/nz55tj1KtXz+xf2gNvzZoiVpdFSbM0aBuEtj588IF/RoSlS/0zEWil104rrWPGiFx4YcnnofvovtbL/8Udw9o3eCW2aJ4vkfPwMksDszR4hWnJAMBdnvfw9u3bVzZt2mQWitBBZdp2MGHChIJBZytXrjQzN9gtWrRIvv32WzOoLJS7777bhOYbbrhBtm/fLmeccYY5pi5sUdqnJNPAW6VKyYFX57jVKcSC58vVgrh2gVgdI199pYt5RFdptYKsBunLLxe5/vrwq6fpvr16+d9//rn+ASOiM855Xdm1MA9vIAKvNwi8AJDigVfdcsst5i2UaVqiDNK0aVMz3244WuXV3t7g/t7SzF7hLSnwWotDhPoS6apnZ59dePuUU2ILn1Y7hfb1amAujh7/+OP9gfeww5In7AbPw2tvadCvXXArRjog8HqDlgYASPGWBsQeeDV0BofaSBaHuOuuwopStH3Alu3bA5cPLkm1aoWD75KJVeG1tzSoUr4oX9yBt2xZr88kvVDhBQB3EXhLWeDVlmWrh1fDbXAw++ab0Mv+Bi/4YIW7aJcnjjXwWucca8B2g1bTrJXe7BXedG5roMLrDSq8AOAuAm8prPDaZ1sIDqzrIlwrwKrgJTrwJlOF1x5q9Q8ArbJZX5d0DLwa/q0/AAi8iUWFFwDcReAthYFXx/BZsyQEB1bb1MPFimTgW3Gs4BptS0OsFV77jBP63gpmTrQzaK+uFXTTeWoya0oyReBNLAIvALiLwFsKA29xgVVnS9Bpv8INuNLtDRoUztIQSwDVX8q7dyeuwquD8Bo29A+Qu+wy/3u9rdudGrBmfb3SeaYGq51BEXgTi5YGAHAXgbcUTktWXE9spItDWBXXWCq89tBqHcetCq8140RwX7Ku4Kbb4wm99gFrFgKvHwtCJRYVXgBwF4HXY/rS/PTpGTJjRn3zPtxL9ZFWeO3z5ForsoVa8CGelgarf1fbKqxf1G4MWituxglrmy6oEWt7g30OXks6tzTYZ2hIxynZvETgBQB3EXg9ZL1U37lzGRk+/BTzPtRL9fpLcNu2yAOv0lD7wAP+j3VF5alTRZYtK1zdzInAG2k7g73Cu2dP5L/UI51xQveLd5U1CxVe2hm8bmkobkpBAEBsCLweieal+q1b/e+16mZVbSMJrFYw/ctfiq6mZp/LNxGB16rwRhOyI51xItL9IqnwpnPgtQatEXgTz/5KSX6+l2cCAKmJwOuBaF+qt9oZNOxaoTWSFgErKAe3Ntgfn6gKr75Mbq3sHOnAtUhnnIh0v+IGrVnSOfBS4fWOvWeagWsA4DwCrweifak+uH830gqv1Qahy/kGS3RLQyx9vJHOOKH7OTVojR5eAq/XFV76eAHAeQReD0T7Un2sgdeq8CZb4I20wmufcSI49NpnnLC3akSDloZALCvsHQIvALiLwOuBaF+qD56SLNrAG6qlIZ4e3mgXnYhnajJrxokjjgg/40SsGLQWiApvcgReWhoAwHkRTioFJ1kv1esAtVB9vFq91Putl+pDVXgjaQ8orqUh0T288Sw+oaFWA0GvXv7b3bqJ/Oc/sVd2LUxLFojA6x1dPVHfdMAaFV4AcB4VXg9E+1J9vC0NxVV4Exl441le2ArvVhU23rCraGkIxCwN3mIuXgBwD4HXI9ZL9fXrl/xSvRV4Dz888sCqlSK3B61FuspaPItPWDZtKvr88aKlIRAVXm+xvDAAuIfA6yENtcuX68vzWtLx9zbMmVO0LzWWCq9ut+bzdLqHN94Kb7QtDfavQayPD4UKbyACr7eo8AKAewi8HtOX5rt29UmtWv6E9fvvRfeJpYfXamfQMGfNfxsq8O7eHf3KTomalixchdepwBuqwksPL7M0eIUKLwC4h8CbJOrX323eL1pU9L5YKrzFTUlmD59aBY62mkmFNzVR4fUWFV4AcA+BN8kC78KFzgTe4vp3rWCno8KLO0ayVnid6uEl8AYi8HqLwAsA7iHwJomcnNCBV1/etAJiqMC7f3/ol0CLm6HBmg2icuXoA6gud2wFZK8qvDqbgH7ebg5aS8eWBmZp8BYtDQDgHgJvkqhff1fIwGstOqHVWHvAtAJvuAptSS0N9mNEU+G1h2OvZmlwqq2huHl4qfAi0ajwAoB7CLxJ1tKwbFlh8LBXNjW4Wi0I1sAiK5iECqwltTTEuviE1U6gldBoBzfFuvCEVrys57XmKXaircEKtbQ0+BF4vUWFFwDcQ+BNEjVqHJCqVX1mENmSJcX370ZSoS2ppaGkxzvdvxvPwhNWlVvDbr16zld4mYfXj1kavEWFFwDcQ+BNEhrmmjb1FWlriDfwRtLSEE0AjXXRiXhaGuwLb1ifj9stDenYw0uF11sEXgBwD4E3iTRtKlEF3uJaEiJpafCqwqvByt62URL718A6hpMtDeEqvNHOT1zaEXi9RUsDALiHwJtEjj3WV2Qu3kgqvKEqppG0NMTTwxtL4LUPtIumymsNWDviiMLndavCawVenY0i3YIHszR4iwovALiHwJtEQrU0WP2rbrY0JCrw6qpy1lRo0QTWUBVetwOv/f50QYXXWwReAHAPgTdJA6/1cnqsPbzRtDTE0sMbS+CNtY/XXuF1qqVBK7hWRdMecvVlZWs2jHQbuEbg9RYtDQDgHgJvEjn6aH8VVAPsunVFB2xF05Lg1iwNVmU11sAbS4XWjQqvvXprr/Dq4MF0namBWRq8RYUXANxD4E0iWllr1EgC+nhj6eHV4GKFNbfm4fWqwutUD689zJYvH3hfugdeKrzeoMILAO4h8CaZ446TgD7eWFoarHYGfWneCpjJ0MObjBVeDbv2BT3SeWoyAq+3qPACgHsIvCkYeK12Bg2lwWEu1OPTsYc31IC1dK/wMkuDtwi8AOCeP3/EIhkDr1bcdu+Ofh7eSGZoiLfCG8vCE7EGXnvotwbzOdXSYB+wlu6Blwqvt2hpAAD3EHiTdPEJ7eG1piTTgWyhAma4Cm0kMzSUlpYGDbj2Cq9VhXSqpaG4Ci8tDUgkKrwA4B4Cb5JWeFesEFm5srCyqbMHRNvSUNwMDaVl0JpWuK2Qq18Hq+Idb0tDcRVeKwSna4WXWRq8DbxUeAHAefTwJhkNddYUZDNnhp+SLJLAG2mFN9LwmZ9fuG+iKrxWdVeDqb5Zz6vnEc/Sv/TwFkWFNzlaGqjwAoDzCLxJ3Nbw7bfh+3eLq9BG29KgFSUr7BTHHjIT1cMbPGjPel5dOGLPHokZgbcoAq+3aGkAAPcQeJO4reG774oPvOEqtJG2NFjL/Eba1mBVZXUqr+C5a92u8Gr/rhVGtac53raGSFoa0q2Hl1kavMWgNQBwD4E3iQPvxo2RBV7ta9V2g2hbGrSiZAW+SAJvvP27TlR4tZfZibl4qfAG0so9FV5vUeEFAPcQeJM48FpKCrzK/vJ+pC0N9mNEEkCdCLzxVnjtzx9P4LXCLIG3aFWRwOsNAi8AuIfAm8Q9vCUFXg1r1sIS9gptpC0N0U5NlgwVXuVkhbe4eXjTqaXB3sPNLA3eoKUBANxD4E1CjRoV/vIrLvDqy/uhAmSkLQ2xBt5YB6wp+/lGMsuCVeENFXjj6eEtrqUhHaclswdeKrzeoMILAO4h8CYhDbtHH114e80a/6wEkQZWq6UhkgpvNHPxOtnSoJ9PJIHSqvC61dLASmuBgVcHBFqDApFYVHgBwD0E3iT02Wciy5cX3r73XpGGDf3bSwq8OngtmXt4K1UqbMOI5Dndbmmgh9ePGRq8R4UXANxD4E0yGmr79BHZvz9wu1Z5dXtw6A0OvBoirRkbkrGH196GEUlgDTVoLVEtDenYw0vg9Q6BFwDcQ+BNIvoy/8CBoXtbrW2DBgW2NwS3JFjVXQ1tkcyVG03gtQJqPIE32oFroSq8tDQ4j2WFvUdLAwC4h8CbRL79NkNWrw5/v4beVatEvvkmfEtCNAPWvOjhjaYlQX/xWwE+VIWXlgbnUOH1HhVeAHAPgTeJrFsX/X7BFdpoA2+ie3ijqfBan4u2QdjbM5xoaYikwktLAxKJwAsA7iHwJpG6daPfLzjwRjNDQ6jHJ1OF1+rfPfzwwJkD3K7wpvO0ZARe79DSAADuIfAmkTPO8ElOjr+iGYpub9BApH378C0JsVZ4Exl4I63whurftT8/LQ3OYZYG71HhBQD3EHiTiFYxR470fxwceq3bI0YEVjvj7eFN9MIT9seXFHhDzdCQyJaGdAq8VHi9R4UXANxD4E0yF14oMmaMSP36gdu18qvb9X67eFsaIq226lRnTs/SUFKFNlyFN1EtDVr1DLfgR6phlgbvUeEFgBQOvKNGjZKGDRtK+fLlpU2bNjJnzpxi99++fbsMGDBA6tatK+XKlZNjjz1Wxo0bV3D/Qw89JBkZGQFvxx13nJQmGmp14YmpU0Xef9//ftmyomHXyUFrJVV4d+8unN83US0N4Sq81vPrOccaSCOp8KbTwDUqvN4j8AKAe/78EeuNjz76SO644w556aWXTNgdMWKEdO3aVRYtWiS1atUqsv/Bgwelc+fO5r4xY8ZI/fr1ZcWKFVI9KIGdcMIJ8tVXXxXcLmP9JilFtG3hrLNK3i9RPbxW+4BWACOZ37c4kVZoS6rwWucdSwAvrsJr//w0GFeuLCmPwOs9WhoAwD2eJsHhw4dL//79pV+/fua2Bt8vv/xS3njjDfnb3/5WZH/dvnXrVpk5c6Zk//nbQavDwTTg1qlTR9JBcA+vW7M02NsZwg2qS1SFV0OZvmlI0yAebeDVSrW1kl2owKtLH+t2DcXp0sdL4PUeFV4ASMHAq9XauXPnyr333luwLTMzUzp16iSzZs0K+ZjPP/9c2rZta1oa/v3vf8sRRxwhl112mdxzzz2SZRvJ9fvvv0u9evVMm4TuP2zYMDnyyCPDnsuBAwfMm2Xnn0ksNzfXvLnNeo5YnqtCBU2fZWTXLp/k5h6SLVv0W5ohVasektxcXwSP13+zTbDbty+34JdusM2b/c9TrZr/eeJRqZL/WNu350tubviehE2b9HuaKdWrF/1cqlcvIxs2ZMjmzblF+p1L4g+x/j+YsrP1e1x0nwoVysi+fRmyc2fo+1PNvn3a3ZQl2dnFf0+8vt5TmbZf6f+Lgwfj/z+G5MH1jnSSm+DrPZrn8Szwbt68WfLy8qR27doB2/X2woULQz5m6dKl8vXXX8vll19u+naXLFkiN998s/mEH3zwQbOPtkaMHj1amjZtKuvWrZOhQ4dK+/bt5ZdffpEqVjkziAZi3S/YpEmTpGKoJk+XTJ48OerHrFqlr7efI1u35sq4ceNl3bouGtfkt9++lYMHSx7VlZurQaeH+fizzyZJ5cqhf9HOmaPfp9O0uUHGjZsh8ViwQHsU2snatbtl3LipYff74w/t6agmy5fPkXHj/iz3/ikr6xwRqSyTJn0va9Zsier5d+7UsNvdfDx16riAWS8sGRn+r+Pkyd/JsmVxjI4rJX7+uYmINJONG1fJuHE/Ju31nsp++037kNrLzp17ZNy4KV6fDhzG9Y50MjlB1/veKF6GLVXNrfn5+aZ/95VXXjEV3VatWsmaNWvk6aefLgi83bp1K9i/efPmJgAfddRR8vHHH8t1110X8rhaZdZeYnuFt0GDBtKlSxepar3+7iIN7HpxaH+y1aoRqTVrRG69VV+iz5Zu3brLvn3+b+n557eTxo0jO0Z2tlaUMqRt2y5mnt9Qtm719zE0bFhNunf3h8VYabfJkCH6/axS7LEGDPB/Lt26nSp/+UvgffXqZcnatSLHHXeadO9eciXbTpdntj7vHj1CP/9hh5WRLVtE/vKXM8z8yKnuhx/841ePPjpHunevl7TXeyo7/HD//7Fy5SrF/X8MyYPrHekkN8HXu/WKfFIH3po1a5rQumHDhoDtejtc/63OzKBfQHv7wvHHHy/r1683LRJlQ8yppAPadCYHrQaHo7M96Fswfa5E/oCK5fmswWmHDmXI3r3+1gRVu7YeK7JjaOFbB7tpaA73GJ2lQdWokSnZ2fFN7mGd886dGWE/X5+vsIe3bt2i52X17e7ZUybiz9Ni9UhWrBj++a3Cfm5u9McvjayvSYUK2tYQouTtgkT//0p2Vj+5/vHJ1yX1cL0jnWQn6HqP5jk8m5ZMw6lWaKdMmRJQwdXb2ncbSrt27Uxw1f0sixcvNkE4VNhVu3fvlj/++MPsk4rsMwisXFk46CqawnQkg8icWnTCfgwdKGf7VhYJ2NbqX8GzNMS72lpxMzSk6+ITDFrzHoPWACBF5+HVNoJXX31V3nrrLVmwYIHcdNNNsmfPnoJZG6666qqAQW16v87SMHDgQBN0dUaHxx9/3AxiswwePFimT58uy5cvN7M5XHDBBaYifOmll0oq0nBbqZL/4xUrCsOgbo9UJDM1OLWssLKH8XDPaVV3NXiGaqOOZ7W14ubgtRB4kWgEXgBwj6c9vH379pVNmzbJkCFDTFtCy5YtZcKECQUD2VauXGlmbrBoX+3EiRPl9ttvN/25Og+vhl+dpcGyevVqE263bNliZnE444wzZPbs2ebjVKUBcs+ewsAb6Ry8XgVenedWC/JawdWqcqiqcbg5eJ1YbY0Kb1FWNZ3A6x3m4QUA93g+aO2WW24xb6FMmzatyDZtd9AAG86HH34o6UYD67p17gZep5YVtod0DbV63FAD5cLNwZuolgbrPlZaQ6JQ4QWAFF5aGPGzAqsVeCNddCKWHl4nA29xz+lmhZeWhvCBN0wrPBKACi8AuIfAm0KB1xq0luwtDZEEVivwhqvwxtPDS0tDUVR4vUeFFwDcQ+BNAVa1tLT08EZS4bVaGsJVeONpaYikwktLA7wKvDpzSbjZSwAAsSHwpgArsK5fH1tLQzJXeBm0lhgEXu/Zp5OkygsAziLwpoDgFZNjrfCGq7bqIhBeVXhpaUgMZmlIngqvIvACgLMIvCkg3sBrhc9wFV6d8iwvz7mFJ+zHYdBacqDCm1yBl4FrAJBi05IhfsGrqjnd0mBVUfUXcnEhMZZzDhdYI52WTKu1Wp2MZnaB0jYtmf6x8c03/qnndMHA9u1FbKtrO4JZGrxHSwMAuIcKbwpwqqWhpMCrITMjQ5KiwmsP+dFWeUtThfezz0QaNhTp2FHkssv87/W2bncSFV7v2VdHJPACgLMIvCkYeGOt8IYLn04vOlFShVdfzt22rfgKr1abrSWVow28paWHV0Ntnz66emDg9jVr/NudDL0EXu/pH5PMxQsA7iDwpgC3e3idHrBmf85QIXvr1sIAUFx4j3VqsmgCr1ctDdrGMHCgf8BgMGvboEGFvdXxYtBacmAuXgBwB4E3BSSqh9fJwFvcoDNrerXKlf29q+FCXawzNUQzD69XFV79vIMru8Ghd9Uq/35OoMKbHAi8AOAOAm+KVXg1qJUvH3vgDVVRTGSFV1+m79y58HyK61mNdaaG0tDSoAPUnNyvJATe5EBLAwC4g8CbYoE32nYG++M17OoUZIms8NoDr9Wzas3QUFLPaqwtDaVh0JrOxuDkfiVhlobkQIUXANxB4E0B8QZeHfxlzb4Qqq3BzQqvFVZj6Vl1s8Lr9bRkOvVYTk74WTF0e4MG/v3ipV9T6+tKhddbVHgBwB0E3hTr4Y22f9cKT8X18bpZ4dVAqb/cY+lZjbWHN9qWhlAh3G06z+7IkaHvs0LwiBHOzMdrVXcVgddbVHgBwB0E3hQQb4XXfoziAq9Tq6zZn89qa4ilZzXWCm80LQ1q/37xxIUXiowZE7gCl9LKr27X+52coUEReL1F4AUAd7DSWopMWK8vhWqlVKt1+vJ0tJW/cHPx6rGWLSsMm7EcOxQ9Xw2VGj71OWPpWXVzWjL7fbp/cfu6qUePwArzpZeKvPNO+O9BuFXZilutzV7hta/2hcSjpQEA3EGFt5SzVuKyfkGOHx/bSlyh5uK1jj13rv/24487u8qXvY/X6lkNJ1TPqpstDVpps8KHl4tP6B8b9r5lDb/hwm64Vdnuvrv41drsMzQ4tZIeYkOFFwDcQeAtxZxciSu4pSERq3zZZ2rQEPfkk9H1rMbS0qCBMZKWBvv9XgbehQsDb69YEXq/cN8vvf3008V/H5mhIXkQeAHAHQTeUsrplbjsgTdRq3wFz9Rg/ZIPrmCG61mNpaVB+1Wtz6GkNoVkCrzHHut/v3x50X2K+36FY/8+Wp8f/bveo6UBANxB4C2lnF6Jy97Dm6hVvoIXn3jzTf/7IUNEpk4Vef99/3t9WT/UAK1YWhrs4bWkCq/XU5PZA2/Xrv732oMbPIiupO9XSd/H2bP9twm83qPCCwDuYNBaKeX0Slz2Cm+iVvmytzQsXSoybZq/faFfP3+/bqSPj6bCa4VXrSKXNEArGSq8ixb537drJ/LGG/6FQVauLKz4OvF9sJZyJvB6jwovALiDCm8p5fRKXPZBa4la5cve0jB6tP/jLl0iC7vBLQ2RvpwfyYC1ZAm8+jktWOD/+Ljj/APNQrU1xPt9sP5wIPB6jwovALiDwFtKOb0Sl73Cm6hVvqygtW1bYeDV6m60j9dqWKRz5UY6YM2+j1ctDZs3+782+vVu0qQw8AYPXCvp+xWO9X20qsUMWvMegRcA3EHgLaXsK3EFB51YVuKy9/Baxw5VNXVylS+rwjt2rL+XVFeJ69Ur8sdXrlx4PpH28UZT4bX28arCa/XvHnWUP3yHq/AWtypbOPbvoxWuqPB6j5YGAHAHgbcUs1biql8//pW4gqcl08fqogfBnFzly3rOxYv97y+5RKR8+egW3Aie6cGNCq9Xgdfq323atDD4hpupwboWKlUK3K4V3LvuKjrHsf37aJ+HF96iwgsA7iDwlnIaWDQARTKrQTQLT2h197ff/B8PHRrfsUPR+V+HDQvc9umn0c/vG+3UZKWph9eq8Gr/rgpX4bXo96V1a//HN95Y+P166in/YwYP9t/Xpk3g95HAmzyo8AKAO5ilIQXoS9pnnRXfMYIrvL/+KvLHH/4QdMcd/vYBp1iLJAS3TGza5N8eTQU52qnJYmlp8KqHN1zgDbf4hL1afs01IqedFniN6NRmzzzj/x7b21F0bmJF4PUeFV4AcAcVXhTp4VX//rf/fefOzoZdpxe1iHZqstLc0mAF3rVrC6uydhpkdQU1+2Ps7C0R9q8/Fd7kQeAFAHcQeBGywqsDyVQ0g8gi4fSiFm62NFj9xP/7n3+O4HhXlouGhlCdm9he4a1Z03/e1tcoXECuXds/ADDYkUcWBnidAcL+XIpZGrxHSwMAuIPAiyI9vBpI//tf/0j+UAPX4uH0ohaxtjSUVOHVtosXX/R/PHGiSMeO/gprtD3GsVqyRCQ/3/99qVPHv02/H8X18QZXhINpBbdevaJtEVR4kwcVXgBwB4EXARVerSx98on/47Zt/dVCJzm9qEWsLQ3FVXitHmOrvcOi7QK6PRGh196/a592rrjAG9zzG0qoxxN4kweBFwA8Drx5eXny888/y74QI3j27t1r7svXkhRKJXuf7rvv+t/37u388zi9qIXTLQ1O9xjHKly1triBawTe0o+WBgDwOPC+8847cu2110rZEI1+uk3ve1/nrkKprSxZIXDePHf6d91YMCPaloaSBq053WMcq3Dhtbi5eCMJvKEezywNyYMKLwB4HHhff/11GTx4sGSFSCJlypSRu+++W1555RWnzw8JohVL+6IPWlm0lpwtDQtm6JzBJQ0s0/u0N1Zt2BB6X6d7jGMVLryGa2nQz+X334vv4Q33eCq8yYMKLwB4HHgXLVokp9kn9gxy6qmnyoIFC5w6LySQ9qRqENq2rXCbTn3lZq+qEwtm6Pndf39hVbq4gWXW52jNPvHOO6H3dbrHOBZaRbYCb7iWhuDAqy0OGlw1tFpV3FBCtUQwS0PyoMILAB4H3j179sjO4FE8Nrt27TK9vChdrAFawS/j62wNbg/QshbMuPRS//tI2xjs5711a8kDy8J9jqH2dbrHOBbr1/u//rp08jHHBN5nn4vXakVQVkDWqnxxX0d7YLZ6kqnwJg8CLwB4HHibNGkiM2fODHv/t99+a/ZB6VHcAC1LIgZoRSuagWXRDkIrrsfYEk2PcSys8Nq4cdEQWquWv/VEx4faA3wk/bv2uXh37y78Y4HAmzxoaQAAjwPvZZddJg888ICZjSHYTz/9JEOGDDH7oPRIlgFabp53LJ9juB5jHdQXbY9xLIoLrxrCQw08K2kOXouGZWteX+vxBN7kQYUXANzx54/Xkt1+++0yfvx4adWqlXTq1EmO+/O38cKFC+Wrr76Sdu3amX1QeiTLAK1kOO/gfTXU6iwVGoS//17kb3/ztxC0ayeuC9e/a29L0IBrD7yRVnitx2vbhPbxtmrFLA3JGHip8AKARxXe7OxsmTRpkjz22GOybt06MyPDyy+/bD7WbXqf7oPSIxkGaLl93vF8jlaP8T33iOh4TW17GD1aXGdVa8OF11ADz6INvIoKb/KxfoRS4QUAD1da00Cr04/9+OOPZhCbDlLTj3VbqPl5kdySYYCW2+dt7RtOpJ/jDTf43+vMe26vr1JSeA0OrDq7xsaNkbU0hHo8szQkD1oaACBJlhbWldY+//xzeeaZZ8zbf/7zn5CrryH5Ob0IRKKUNLBM+3Kt89a3u+4KfZxoPse//lWkalWRpUtFvv5aXKMTnViV23CBN7iH16oIa8+xfcW8cIIfT4U3eTBoDQA87uFVGnSvv/562bx5c8D2mjVrmoUpevTo4fT5wWXWAC2dycA+uEurohoE3R6g5fR5Kw2mZ57pX4hCp+96443CAVv798f2OVaqJHLFFSIvvijy6KMimzb52yC0MqxhWdsdtN9Xe4Ht26Ohx7AWK9QFNWrUiKxCG007Q6jHE3iTBxVeAPA48OqUZH369JGePXvKnXfeKccff7zZ/ttvv8mzzz5r7ps+fXqxi1MgOdkHaMUT2Lw+78MPF7n1VpHFi/2hbs+ewGru8OEietnG+jkefbT//fTp/jcrNOs8wh98UPQPBq1CR/oHg84FbA/vOg+vfg6hjmEFVt1XK4GxBl6tJGs1nMCbPAi8AOBx4H300UelX79+ZqCa3emnn27ebrzxRnn44Ydl3LhxbpwnXGYN0Crt53355SIPPhgYdpUGuwED/FVhDajR0kA6eHDR7Ro6n3666HZrUYtIpjGzFsYInis43DFq1/aHUw2quk9Jg9zCtTToOjLbtzNLQzKhpQEAPO7hnT17ttxyyy1h7x8wYIDMmjXLqfMCoqYtAa++Wvw+sSykEckCHZEsahHtscMdQ1dgsxaQ0LaEkqYxC6bzCWtoth5PhTd5UOEFAI8Drw5Mq6rNkWFUq1ZN9tsbJIEUWUijpOPG83yxnrPVlvD77yJLlkRX4Q0euMYsDcmDCi8AJMHSwl8XMzx9ypQpLC2MlFxII96FN4p7fKznbAXeqVP91UAdVBe8MlykA9eo8CYPKrwA4HHg1f7dwYMHh+zR/fLLL81cvNdcc43T5wd4vpBGvAtvFPf4WM/ZCqyTJvnfH3usv9UhUvaBawTe5EHgBQCPB60NHDjQzNRw/vnnS9OmTc0sDT6fTxYsWCC///679O7dWwZpsyHgEWuRCR3IFaonVmdq0PujXUijpOOGE8nzxXrOVmDdsiX6dgb745ctY9BaMqGlAQDcEXFNKDMzUz755BP54IMPTOBduHChLFq0SI477jh577335NNPPzX7AKm2kEZJC12EEunzxXrOVg+uJdbAqz3AFgKv96jwAoA7ok6offv2lbFjx5r5d/VNP77kkkvcOTsgxgUpgvtZtUoayRRh0R5XlyXWldyCly+O5vliOWcrsFp0FodoZp+wArM14E0ReL1H4AUAdzhWkp03b55pd4jWqFGjpGHDhlK+fHlp06aNzJkzp9j9t2/fbqZAq1u3rpQrV06OPfbYIn3F0R4TqUUDog7G0gFdunKZvteX7uNdNS7ccZ96yr/9pJP8+z30UPTPp/ta8+mq//yn+GMEzwD48MP+EKxz+kYTeO0vnTNLg/doaQCAJAi8EydONAPX7rvvPlm6dKnZpq0N2r976qmnSn5+flRP/tFHH8kdd9whDz74oAnMLVq0kK5du8rGjRtD7n/w4EHp3LmzLF++XMaMGWNaKl599VWpbyuNRXtMpCZrQQpdZELfO7VqXLjj6vt69fwfN24c2/PZK7TnnBP+GBpq//rXotuthSoiCb06q8MRRxTe1udK9pX10gEVXgDwOPC+/vrr0q1bNxk9erQ8+eSTZgnhd999V9q2bSt16tSRX375JepV1oYPHy79+/c3M0A0a9ZMXnrpJalYsaK88cYbIffX7Vu3bjVtFO3atTNV3A4dOphQG+sxAafogg5q797YHm/NllBctTWWhSrCsbdF0M6QHKjwAoDHszSMHDnSBN277rrLDFC7+OKL5cUXX5T58+dLTnADYwS0Wjt37ly59957C7bpoLdOnTqFXbHt888/NwFbWxr+/e9/yxFHHCGXXXaZ3HPPPZKVlRXTMdWBAwfMm2Wnrrlqfunkmje3Wc+RiOeCe8qX1xJppuzalSe5udG92qH8yyFnS1aWT/LzD0moF0ymT8+Q1avLlLhQxdSph6RDh+KnlDjyyCz54Qf/37zlyvkkNzcxZUWu9/D8f7Rky6FDift+wF1c70gnuQm+3qN5nogD7x9//GFCrrrwwgulTJky8vTTT8cUdtXmzZslLy9PaltrnP5Jb2ubRCjaRqGLX1x++eWmmrxkyRK5+eabzSesLQyxHFMNGzZMhg4dWmT7pEmTTHU4USZPnpyw54LztmzRVxoayo8/LpZx4xZH/fgNG/Ra6yxZWXlhXy2ZMUPbd04p8Vjjx/8oe/asKXafvLxmuqTMn7cOyLhxEyWRuN6LWreukoh0kv37D0X9ihmSG9c70snkBF3ve6N4SbVMNEsLW+EvIyPDDBjTgWOJpD3CtWrVkldeecVUdFu1aiVr1qwxwVsDb6y0Iqx9v/YKb4MGDaRLly7FLqfsFA3senFof3K29ZomSp2vvsoU/T+ek3OsdO9+TNSPtwatVayYJd27dw+5T6VKGTJ8eMnH6tatpXToUNjqE8qKFZkydqz/46pVy4V9TqdxvYenC4Eon69Mwr4fcBfXO9JJboKvd+sVeUcDr3rttdekcuXK5uNDhw6Zft6aNWsG7HPbbbdFdCx9nIbWDRs2BGzX29oTHIoGbP0C6uMsugDG+vXrTTtDLMdUGt71LZg+VyJ/QCX6+eCsP/9ryIEDWZKdHf0IMKuFoWzZjLDXQceOkS1U0bFjmRIHoR19dOHHxT2nW7jew/eBHzqU+O8H3MX1jnSSnaDrPZrniDjwHnnkkWZGBIsGyHfeeSdgH638Rhp4y5Ytayq0U6ZMMbM8WBVcvX3LLbeEfIwOVHv//ffNftYiF4sXLzZBWI+noj0m4BSr+yXWQWuRrHhmLVShszFouLWH3mgX12DQWvKxfnbrLA36vY10oRMAgEOBV6cCc5q2EVx99dVyyimnSOvWrWXEiBGyZ88eM8OCuuqqq8yUY9pjq2666SZ54YUXzDLHt956q1nS+PHHHw8I2SUdE0jWwGuNmyxpPlxroQqdrWH16sLtWtnVsBvp/L/21dp0wNy0af4ljJmezPtpyZTOtGG/DQCInac/TnXVtk2bNsmQIUNMW0LLli1lwoQJBYPOVq5cGbBcsfbV6lzAt99+uzRv3tyEYQ2/OktDpMcESnOF16KhtlcvkW++0YFO2u4TfVidNElnMfG3UugiF1a7hFaQ412kA7GxB1yt8hJ4AcAZnv841VaDcO0G07TkFESnJZs9e3bMxwRKe4U3eBGMWOjiFNoWEdwHbC1eEc8yzIidvR1NZ9spX97LswGA1OHY0sJAuktkhTceTi5eAXcrvAAAZxB4gVJa4Y2VtkHYe3/DLV6h+yGxCLwA4A4CL+Bw4N23L7krvNrz6+R+cI7OymD1YbMwFwB4EHjXrl0rgwcPDjnJ744dO8ySw8Hz3wLpxKmWBrcrvJGuF5PgdWUQVOWlwgsAHgTe4cOHm7AbauWxatWqya5du8w+QLpyqqXB7QqvzuagszGEm+NVtzdo4N8P3g1co8ILAM6JOPDq1F46L244et8XX3zh1HkBpXaVrGSv8FqLV6jg0Bvt4hVwHhVeAPAw8C5btsysthZOTk6OK4tTAKWxwhtqBoRkqfDaF6+oXz9wu1Z+mZLMWwReAPBwHt4KFSqYQBsu9Op9ug+Q7oFXp/PSl6OjrdQmqsLr5OIVcB4tDQDgYeBt06aNvPPOO3LmmWeGvP/tt982S/kC6R54rSpvtME1kRVeJxavgDuo8AKAh4FXZ2jo3LmzGaCmMzJYS/XqzAxPPfWUjB49WibpWqVAGlfmNEBqhVcDb/XqyV3hRXIHXiq8AOBB4O3YsaOMGjVKBg4cKP/4xz/MbA0ZGRlmSrLs7Gx5/vnn5eyzz3bw1IDSRQd8aZV3167YBq55UeFF8rY0UOEFAA8Cr7rxxhvl/PPPl48//liWLFkiPp9Pjj32WOnTp48ZtAaku3gCLxVeKFoaAMDjwKvq168vt99+uwunAqT3XLyJWloYyY1BawDgYeB97rnnQm7Xnl6t8rZt29bJ8wLSLvAmamlhJDcqvADgYeDVvt1Qtm/fbvp4Tz/9dPn888/lsMMOc/L8gFKFCi/iReAFAI8Xngj1tm3bNtPPm5+fLw888IALpwiUvsC7b1/0j6XCC0VLAwB4GHiL07hxY3niiSeYlgxpjwov4kWFFwCSNPAqXYFt/fr1Th0OKJXo4UW8qPACQBIH3vnz58tRRx3l1OGAUokKL+JFhRcAPBy0tnPnzpDbdcDa3Llz5c4775Srr77ayXMDSh0qvIgXgRcAPAy81atXNyurhaLbr7/+evnb3/7m5LkBpU6FCv73VHgRK1oaAMDDwDt16tSQ23WJ4SZNmkjlypWdPC+gVKLCi3hR4QUADwNvhw4dStznl19+kRNPPDHecwJKLXp4ES8CLwAk4aC1Xbt2ySuvvCKtW7eWFi1aOHNWQClFhRfxoqUBAJIo8M6YMcMMUqtbt64888wzcvbZZ8vs2bOdPTuglKHCi3hR4QUAD1salM6zO3r0aHn99dfNrA1//etf5cCBAzJ27Fhp1qyZC6cHlC5UeBEvKrwA4GGFt0ePHtK0aVP5+eefZcSIEbJ27Vp5/vnnXTglIL0DLxXe9EaFFwA8rPCOHz9ebrvtNrnpppvMrAwA3GlpoMKb3gi8AOBhhffbb781A9RatWolbdq0kRdeeEE2b97swikB6Rd48/JE8vP9H1PhTW+0NACAh4H3tNNOk1dffVXWrVsnN954o3z44YdSr149yc/Pl8mTJ5swDKQ7K/Du2xdbdVdR4U1vVHgBIAlmaahUqZJce+21puI7f/58s6TwE088IbVq1ZKePXu6cIpA6ld4rf5dRYU3vVHhBYAkm4dXB7E99dRTsnr1avnggw+cOysgzQKvvcJrBR6kJyq8AJCEC0+orKws6d27t3z++edOHA5IicDr88U2Q0NGhjvnhtKBwAsASRp4AQQGXg279qptSZihARZaGgDAeQRewEEVKhR+HE1bA3PwwkKFFwCcR+AFHA4rVoUumsDLssKwEHgBwHkEXiAJBq6xrDAstDQAgPMIvEASBF4qvLBQ4QUA5xF4AYdR4UU8qPACgPMIvIDDqPAiHlR4AcB5BF7AYVR4EQ8CLwA4j8ALOIwKL+JBSwMAOI/ACziMCi/iQYUXAJxH4AVcCrz79kX+GCq8CA68VHgBwDkEXsBhVHjhREsDFV4AcA6BF3AYPbyIBy0NAOA8Ai/gMCq8iAeD1gDAeQRewGFUeBEPKrwA4DwCL+AwKryIB4EXAJxH4AWSKPBS4QUtDQDgPAIv4LAKFWJvaaDCCyq8AOA8Ai/gMCq8iAcVXgBwHoEXSKJBa1R4QYUXAFI08I4aNUoaNmwo5cuXlzZt2sicOXPC7jt69GjJyMgIeNPH2V1zzTVF9jn33HMT8JkAVHgRHwIvADjvzx+t3vnoo4/kjjvukJdeesmE3REjRkjXrl1l0aJFUqtWrZCPqVq1qrnfooE2mAbcN998s+B2OUpnSBAqvIgHLQ0AkIIV3uHDh0v//v2lX79+0qxZMxN8K1asKG+88UbYx2jArVOnTsFb7dq1i+yjAde+T40aNVz+TAA/KrxwosLr84nk53t9NgCQGjwNvAcPHpS5c+dKp06dCk8oM9PcnjVrVtjH7d69W4466ihp0KCB9OrVS3799dci+0ybNs1UiJs2bSo33XSTbNmyxbXPA7CjwgsnAq+irQEAUqClYfPmzZKXl1ekQqu3Fy5cGPIxGmC1+tu8eXPZsWOHPPPMM3L66aeb0JuTk1PQznDhhRdKo0aN5I8//pD77rtPunXrZkJ0VlZWkWMeOHDAvFl27txp3ufm5po3t1nPkYjnQqJeks6Wfft8kpsbWWI5cECvy0zJzDwkubk+SWVc75Hw9zXs3ZsrITq2UIpwvSOd5Cb4eo/meTzv4Y1W27ZtzZtFw+7xxx8vL7/8sjzyyCNm2yWXXFJw/0knnWTC8dFHH22qvuecc06RYw4bNkyGDh1aZPukSZNMe0WiTJ48OWHPBffs2KF9Cd1k374M+eKLcZIZweso69e3F5HD5Jdf5knlyuskHXC9h5abqxdMD/PxuHGTpFIlyrypgOsd6WRygq73vVG8lOpp4K1Zs6apuG7YsCFgu97WvttIZGdny8knnyxLliwJu0/jxo3Nc+k+oQLvvffeawbO2Su82i7RpUsXM0AuEX+h6MXRuXNn8/mgdNuzp/Djs8/uXtDiUJyHH/a/8tC27V+kW7fUr/ByvYdn79vt2LGL1Kzp5dkgXlzvSCe5Cb7erVfkkz7wli1bVlq1aiVTpkyR3r17m235+fnm9i233BLRMbQlYv78+dK9e/ew+6xevdr08NatWzfk/TrALdQsDvrNSuQPqEQ/H9xh/xspN1e/p5EPWqtYsUxE+6cCrvfwtI1BB61lZER2/SD5cb0jnWQn6HqP5jk8n6VBK6uvvvqqvPXWW7JgwQIzwGzPnj1m1gZ11VVXmQqs5eGHHzatBkuXLpV58+bJFVdcIStWrJDrr7++YEDbXXfdJbNnz5bly5eb8KwD24455hgz3RngNm1hsKaGjvTVFivwMmgNirl4AcBZnvfw9u3bVzZt2iRDhgyR9evXS8uWLWXChAkFA9lWrlxpZm6wbNu2zUxjpvvqVGNaIZ45c6aZ0kxpi8TPP/9sAvT27dulXr16pjVB+3uZixeJom0M+/dHHnitMZNMSwalRQsdi8E4JwBIkcCrtH0hXAuDDjSz+8c//mHewqlQoYJMnDjR8XMEog28W7dS4UVsqPACgLM8b2kAUlG0c/FS4UWowEuFFwCcQeAFXFChgv89FV7EwhqHQYUXAJxB4AVcQIUX8aClAQCcReAFPA68Ov2U9dI1FV7YK7y0NACAMwi8gMeB12pnUFR4oajwAoCzCLxAEgVeKrxQBF4AcBaBF/A48Fr9u4oKLxQtDQDgLAIv4GLg3bcv8gpvVpb/DaDCCwDOIvACSdLSQHUXFiq8AOAsAi+QJC0N9O/CQoUXAJxF4AVcQIUX8SDwAoCzCLyAC6jwIh60NACAswi8gAuo8CIeVHgBwFkEXsAFVHjhROClwgsAziDwAi6gwgsnWhqo8AKAMwi8gAsqVIi+wkvghYWWBgBwFoEXSJIKLy0NsDBoDQCcReAFkqSHlwovLFR4AcBZBF7ABVR4EQ8CLwA4i8ALuIAKL+JBSwMAOIvAC7gYeLV6m5dX/L5UeBGMCi8AOIvAC7gYeNW+fcXvS4UXwajwAoCzCLyAC8qXL/y4pLYGKrwIRoUXAJxF4AVckJEReR8vFV4EI/ACgLMIvIBLIg28VHgRjJYGAHAWgRdwCRVexIoKLwA4i8ALuIQKL2JF4AUAZxF4AZdQ4UWsaGkAAGcReAGXUOFFrKjwAoCzCLyAS6jwIlZUeAHAWQRewCUVKvjfU+FFtKjwAoCzCLxAkrQ0UOGFhcALAM4i8AJJ0tJAhRcWWhoAwFkEXsAlVHgRKyq8AOAsAi/gEiq8iDfwUuEFAGcQeAGXA+++fcXvR4UX4VoaqPACgDMIvIBLqPAiVrQ0AICzCLyAS+jhRawYtAYAziLwAi5h4QnEigovADiLwAu4hKWFESsCLwA4i8ALuIQKL2JFSwMAOIvAC7iECi9iRYUXAJxF4AVcQoUXsaLCCwDOIvACHgbevDyR/Hz/x1R4YaHCCwDOIvACHgZeq7qrqPDCQuAFAGcReAGXVKhQcuC1+ncVFV5YaGkAAGcReAGXK7xapQsXXOwVXivkAFR4AcBZBF7A5cBbXJXXvspaRkZizgvJj8ALAM4i8AIu0RCbmVl84GWGBoRCSwMAOIvAC7hEK7ZWlXffvtD7MAcviqvw6iwePp/XZwMApR+BF/BwpgYqvAjF3s9NWwMAxI/AC3gYeKnworgKryLwAkD8CLyAi6jwIhYEXgBwlu3HqndGjRolTz/9tKxfv15atGghzz//vLRu3TrkvqNHj5Z+/foFbCtXrpzs37+/4LbP55MHH3xQXn31Vdm+fbu0a9dO/vnPf0qTJk1c/1wAOyq8iIU12FFNnSpy3nkiWVn+nt5vvhFZt06kbl2R9u39+wRvC7dvtNudOHayHMOr85s+PUNmzKgvlSplSMeOfJ1S5RjJfn5eHWN6iOs9afg89uGHH/rKli3re+ONN3y//vqrr3///r7q1av7NmzYEHL/N99801e1alXfunXrCt7Wr18fsM8TTzzhq1atmm/s2LG+n376ydezZ09fo0aNfPv27YvonHbs2KHDRMz7RDh48KA5V32P1HLmmTrkyOf75JPQ93/5pf/+Vq18aYPrvXiffurz5eT4rwvrTW/fdVfR7Ycf7n+LZN9otztx7GQ5RrKfX7IcI9nPL1mOkeznlyzHyMnx/zxzUzR5zfPA27p1a9+AAQMKbufl5fnq1avnGzZsWNjAq2E2nPz8fF+dOnV8Tz/9dMG27du3+8qVK+f74IMPIjonAi+ccu65/v/4b70V+v7PPvPff/rpvrTB9R6e/nLIyAj8pcEbb7zxVhrfMjL8b26G3mjymqc9vAcPHpS5c+dKp06dCrZlZmaa27NmzQr7uN27d8tRRx0lDRo0kF69esmvv/5acN+yZctMa4T9mNWqVZM2bdoUe0zAy5YGenihLwcOHOj/VQEApZ3vz59lgwb5f76ldQ/v5s2bJS8vT2rXrh2wXW8vXLgw5GOaNm0qb7zxhjRv3lx27NghzzzzjJx++ukm9Obk5Jiwax0j+JjWfcEOHDhg3iw7d+4073Nzc82b26znSMRzIbHKl9cGpkzZtStPcnPzi9y/Z48ur1ZGypbNl9zcJPiJkABc76Fp79vq1UkxrAIAHAu9q1bpWIRD0qGD83/NR/N7pNT9dG3btq15s2jYPf744+Xll1+WRx55JKZjDhs2TIYOHVpk+6RJk6SifX1Yl02ePDlhz4XE2Ly5hYg0lB9/XCzjxi0ucv+8eUeKyMmybdsGGTdujqQTrvdAOtBD5BSvTwMAHDd+/I+yZ88ax4+7N9zLp8kWeGvWrClZWVmyYcOGgO16u06dOhEdIzs7W04++WRZsmSJuW09To9RV4cP2o7ZsmXLkMe499575Y477gio8Gq7RJcuXaRq1ariNv0LRX/5d+7c2Xw+SB1ff50pkyaJ5OQcK927H1Pk/hUr/F1FOTm1pXv37pIOuN5D01HNw4d7fRYA4Lxu3VpKhw5aAHKW9Yp80gfesmXLSqtWrWTKlCnSu3dvsy0/P9/cvuWWWyI6hrZEzJ8/vyAsNGrUyIRePYYVcPUL8v3338tNN90U8hg6rZm+BdNfxon8hZzo54P7KlXyvz9wIEuys4vOz2L1NVWokCnZ2ek1LTbXeyCdwicnR2TNGvp4AaSGjAz/z7WOHcu4MkVZNL9DPP8Nq5VVnS/3rbfekgULFphQumfPnoK5dq+66ipTgbU8/PDDptVg6dKlMm/ePLniiitkxYoVcv3115v7MzIyZNCgQfLoo4/K559/bsKwHqNevXoFoRpIFBaeQKT0l8HIkYW/JACgNMv48+fYiBHJMR+v54G3b9++ZuDZkCFDTEX2xx9/lAkTJhQMOlu5cqWs09mN/7Rt2zbp37+/6dvVqq5Wb2fOnCnNmjUr2Ofuu++WW2+9VW644QY59dRTzawOeszy5ct78jkifVmX3G+/iUybVnSkKgtPwO7CC0XGjBGpr+28Ng0aiNx1l79SYnf44f63SPaNdrsTx06WYyT7+SXLMZL9/JLlGMl+fslyjJwc/88z/bmWDDJ0bjKvTyLZaIjWqcx0FohE9fCOGzfOBHhe4k0dn30mct11Itu3B/4A0Cqe9QPg/vtFHn9c5NZbRZ57TtIC13vJWDUqdT5HHZ2uA3a0h9F6WZevU+k/RrKfn1fHmBriek+WvEbgDYHACyfCbp8+RXsxrZd4rL969a/iZ54RGTxY5OmnJS1wvSOdcL0jneQm+HqPJq953tIApNMCAsETcdPDCwCA+wi8gMP0pZ7Vq0ueiFv3o4cXAAD3EXgBh9nGWJa4HxVeAADcR+AFHGZb76TE/ajwAgDgPgIv4DAdsaqzMYSbS1W36zQuuh8VXgAA3EfgBRK4gEDwRNxUeAEAcB+BF0jgAgLBE3FT4QUAwH0EXsAlGmqXLxepU8d/e9QokWXLAledocILAID7CLyAi7RtwaryHnVU0fXEqfACAOA+Ai/gMms98i1bit5HhRcAAPcReAGXHXaY//3WrUXvo8ILAID7CLyAy6jwAgDgLQIvkASBlwovAADuIfACSdDSQIUXAAD3EHgBl1HhBQDAWwReIEGBlwovAADeIPACCWppoMILAIA3CLyARy0NPh+BFwCARCDwAgmq8O7eXRhwVW5u4ce0NAAA4B4CL+Cy6tVFMjOL9vFa/buKCi8AAO4h8AIu07Bbo0bRtgZ7tZcKLwAA7iHwAh7NxWtVeDUQZ2V5c14AAKQDAi/g0cA1lhUGACAxCLyAR3PxWhVe+ncBAHAXgRfwaC5eKrwAACQGgRfwqKWBCi8AAIlB4AU8GrRGhRcAgMQg8AIJQIUXAADvEHiBBGCWBgAAvEPgBTyeh5cKLwAA7iLwAglAhRcAAO8QeIEEoMILAIB3CLxAAiu8+/eL7N3r/5gKLwAAiUHgBRKgcmWR7OzAtgYqvAAAJAaBF0iAjIyibQ1UeAEASAwCL+DRwDUr8FLhBQDAXQRewKPAa7U0UOEFAMBdBF4gQcK1NFDhBQDAXQRewOMKL4EXAAB3EXiBBGHQGgAA3iDwAglChRcAAG8QeAGPZ2mgwgsAgLsIvIBHLQ1UeAEASAwCL5AgVHgBAPAGgRdIEHp4AQDwBoEX8KClweejwgsAQKIQeIEEB968PJGdO6nwAgCQKAReIEEqVPC/WVVeKrwAACQGgRfwqI+XCi8AAIlB4AU8CrxUeAEASAwCL+DRwDUqvAAAJAaBF0ggKrwAACQegRfwoMJLDy8AAGkWeEeNGiUNGzaU8uXLS5s2bWTOnDkRPe7DDz+UjIwM6d27d8D2a665xmy3v5177rkunT0QfYWXWRoAAEijwPvRRx/JHXfcIQ8++KDMmzdPWrRoIV27dpWNGzcW+7jly5fL4MGDpX379iHv14C7bt26grcPPvjApc8AiByzNAAAkIaBd/jw4dK/f3/p16+fNGvWTF566SWpWLGivPHGG2Efk5eXJ5dffrkMHTpUGjduHHKfcuXKSZ06dQreatSo4eJnAUQ/aI0KLwAAiVFGPHTw4EGZO3eu3HvvvQXbMjMzpVOnTjJr1qywj3v44YelVq1act1118k333wTcp9p06aZfTTonn322fLoo4/K4VZ5LciBAwfMm2WnLoMlIrm5uebNbdZzJOK54K1q1TLMf7vNm/PlwAH9WFtu9DqTtMH1jnTC9Y50kpvg6z2a5/E08G7evNlUa2vXrh2wXW8vXLgw5GO+/fZbef311+XHH38Me1xtZ7jwwgulUaNG8scff8h9990n3bp1MyE6KyuryP7Dhg0z1eJgkyZNMtXmRJk8eXLCngveWLxYS7ztZcWKfZKfX8lsmzFjslStmn6/DLnekU643pFOJifoet+7d2/pCLzR2rVrl1x55ZXy6quvSs2aNcPud8kllxR8fNJJJ0nz5s3l6KOPNlXfc845p8j+WmHWPmJ7hbdBgwbSpUsXqVq1qiTiLxS9ODp37izZ2dmuPx+806iRXm8iO3YU/iF13nmdpUoVSRtc70gnXO9IJ7kJvt6tV+STPvBqaNWK64YNGwK2623tuw2m1VodrNajR4+Cbfn5+eZ9mTJlZNGiRSbYBtM+X32uJUuWhAy82u+rb8H0m5XIH1CJfj4knnVZ+9sZ/CpX1u+7pB2ud6QTrnekk+wEXe/RPIeng9bKli0rrVq1kilTpgQEWL3dtm3bIvsfd9xxMn/+fNPOYL317NlTOnbsaD7Wqmwoq1evli1btkjdunVd/XyAkoQaO8nvQAAA3OV5S4O2Elx99dVyyimnSOvWrWXEiBGyZ88eM2uDuuqqq6R+/fqmz1bn6T3xxBMDHl+9enXz3tq+e/du04970UUXmSqxVoXvvvtuOeaYY8x0Z4CXNNxql4z1Kozezigs9gIAgFQMvH379pVNmzbJkCFDZP369dKyZUuZMGFCwUC2lStXmpkbIqUtEj///LO89dZbsn37dqlXr57pxX3kkUdCti0AiaaThViBl0sSAIA0CLzqlltuMW+h6ECz4owePTrgdoUKFWTixImOnh/g9Fy8y5b5P2bRCQAA0mDhCSDd2KeDpsILAID7CLyAh4GXCi8AAO4j8AIeLS+sqPACAOA+Ai+QYFR4AQBILAIvkGBUeAEASCwCL5BgVHgBAEgsAi+QYMzSAABAYhF4AQ9bGqjwAgDgPgIvkGBUeAEASCwCL5BgVHgBAEgsAi+QYNWri2T++T+PCi8AAO4j8AIJ5vOJVK7s/3jLFpG8PK/PCACA1EbgBRLos89EGjYU2bnTf3viRP9t3Q4AANxB4AUSRENtnz4iq1cHbl+zxr+d0AsAgDsIvEACaNvCwIH+doZg1rZBg2hvAADADQReIAG++aZoZTc49K5a5d8PAAA4i8ALJMC6dc7uBwAAIkfgBRKgbl1n9wMAAJEj8AIJ0L69SE6OSEZG6Pt1e4MG/v0AAICzCLxAAmRliYwc6f84OPRat0eM8O8HAACcReAFEuTCC0XGjBGpXz9wu1Z+dbveDwAAnFfGhWMCCENDba9e/tkYdICa9uxqGwOVXQAA3EPgBRJMw+1ZZ3l9FgAApA9aGgAAAJDSCLwAAABIaQReAAAApDQCLwAAAFIagRcAAAApjcALAACAlEbgBQAAQEoj8AIAACClEXgBAACQ0gi8AAAASGkEXgAAAKQ0Ai8AAABSGoEXAAAAKa2M1yeQjHw+n3m/c+fOhDxfbm6u7N271zxfdnZ2Qp4T8ArXO9IJ1zvSSW6Cr3crp1m5rTgE3hB27dpl3jdo0MDrUwEAAEAJua1atWrF7SIZvkhicZrJz8+XtWvXSpUqVSQjI6PYfU899VT54YcfSjxmcfvpXygarletWiVVq1aVVBXp16q0noOTx471WLE8LprHRLJvSftwvafGOTh17HiOw/WePLje3T8O13tRGmE17NarV08yM4vv0qXCG4J+0XJyciLaNysrK6JvaiT76f2p/AMx0q9VaT0HJ48d67FieVw0j4lk30iPx/Veus/BqWPHcxyu9+TB9e7+cbjeQyupsmth0FqcBgwY4Oh+qSwZvgZunoOTx471WLE8LprHRLJvMnyfk0EyfB1Kw/Uez3G43pNHMnwduN7je8yAFL/eaWlIAvoSgP6FsmPHDs//QgbcxvWOdML1jnSyM4mvdyq8SaBcuXLy4IMPmvdAquN6Rzrhekc6KZfE1zsVXgAAAKQ0KrwAAABIaQReAAAApDQCLwAAAFIagRcAAAApjcALAACAlEbgLWV0ub6zzjpLmjVrJs2bN5dPPvnE61MCXHPBBRdIjRo1pE+fPl6fCuC4L774Qpo2bSpNmjSR1157zevTAVL65znTkpUy69atkw0bNkjLli1l/fr10qpVK1m8eLFUqlTJ61MDHDdt2jSzTvpbb70lY8aM8fp0AMccOnTIFC6mTp1qJurXn+UzZ86Uww8/3OtTA1Ly5zkV3lKmbt26JuyqOnXqSM2aNWXr1q1enxbgCn01o0qVKl6fBuC4OXPmyAknnCD169eXypUrS7du3WTSpElenxaQsj/PCbwOmzFjhvTo0UPq1asnGRkZMnbs2CL7jBo1Sho2bCjly5eXNm3amB98sZg7d67k5eVJgwYNHDhzIHmvdSDVrv+1a9easGvRj9esWZOw8wfS7ec9gddhe/bskRYtWphvfCgfffSR3HHHHWbpvXnz5pl9u3btKhs3bizYRyu4J554YpE3/QFp0aruVVddJa+88kpCPi/Aq2sdSNXrHygt9qTC9a49vHCHfnn/9a9/BWxr3bq1b8CAAQW38/LyfPXq1fMNGzYs4uPu37/f1759e9/bb7/t6PkCyXatq6lTp/ouuugix84VSIbr/7vvvvP17t274P6BAwf63nvvvQSeNZD4n/de/jynwptABw8eNG0InTp1KtiWmZlpbs+aNSuiY+i1ds0118jZZ58tV155pYtnC3h7rQOpfP23bt1afvnlF9PGsHv3bhk/frypiAGlzcFS8vOewJtAmzdvNj23tWvXDtiut3XGhUh899135qUD7Z/Rl4P1bf78+S6dMeDdta70B+bFF18s48aNk5ycnKT64QnEc/2XKVNGnn32WenYsaP5OX7nnXcyQwNS+ud9J49/npdJ6LMhbmeccYbk5+d7fRpAQnz11VdenwLgmp49e5o3IB185fHPcyq8CaRTiGVlZZl5dO30tk4xBqQKrnWkM65/pJOapeR6J/AmUNmyZc3k4lOmTCnYptVavd22bVtPzw1wEtc60hnXP9JJ2VJyvdPS4DAdfLBkyZKC28uWLZMff/xRDjvsMDnyyCPNtB1XX321nHLKKWbQwogRI8x0H/369fP0vIFoca0jnXH9I53sToXr3ZO5IVKYTrmhX9bgt6uvvrpgn+eff9535JFH+sqWLWum8pg9e7an5wzEgmsd6YzrH+lkagpc7xn6j9ehGwAAAHALPbwAAABIaQReAAAApDQCLwAAAFIagRcAAAApjcALAACAlEbgBQAAQEoj8AIAACClEXgBAACQ0gi8AJBmGjZsaJb+jFZGRoaMHTvWlXMCADcReAHAQ9dcc4307t3b69MAgJRG4AUAAEBKI/ACQJIaPny4nHTSSVKpUiVp0KCB3HzzzbJ79+6C+0ePHi3Vq1eXL774Qpo2bSoVK1aUPn36yN69e+Wtt94yrQs1atSQ2267TfLy8gKOvWvXLrn00kvNsevXry+jRo0KuP/333+XM888U8qXLy/NmjWTyZMnFzm/e+65R4499ljzvI0bN5a///3vkpub6+JXBABiUybGxwEAXJaZmSnPPfecNGrUSJYuXWoC79133y0vvvhiwT4abnWfDz/80ITYCy+8UC644AIThMeNG2ced9FFF0m7du2kb9++BY97+umn5b777pOhQ4fKxIkTZeDAgSa8du7cWfLz881xateuLd9//73s2LFDBg0aVOT8qlSpYkJ3vXr1ZP78+dK/f3+zTc8RAJJJhs/n83l9EgCQzj2827dvj2gw2JgxY+T//u//ZPPmzea2hs1+/frJkiVL5Oijjzbb9P533nlHNmzYIJUrVzbbzj33XFPtfemll8xt/fj444+X8ePHFxz7kksukZ07d5qQPGnSJDnvvPNkxYoVJsyqCRMmSLdu3eRf//pX2J7jZ555xgTv//73vw58ZQDAOVR4ASBJffXVVzJs2DBZuHChCaOHDh2S/fv3m6quthEofW+FXaVVWQ20Vti1tm3cuDHg2G3bti1y25q5YcGCBaaFwgq7ofZXH330kaku//HHH6bVQs+vatWqDn4FAMAZ9PACQBJavny5nH/++dK8eXP59NNPZe7cuQV9tgcPHizYLzs7u8jUYaG2aZuCk2bNmiWXX365dO/e3fQQ/+9//5P7778/4NwAIFlQ4QWAJKQBV0Pqs88+a3p51ccff+zY8WfPnl3ktrY5KH2/atUqWbdundStWzfk/jNnzpSjjjrKhFyLtkAAQDIi8AKAx3RQ2I8//hiwrWbNmmbGg+eff1569Ogh3333XUEPrhP0eE899ZTpx9UZGD755BP58ssvzX2dOnUyA9iuvvpqM7hN2ynswVY1adJEVq5caXp2Tz31VPNY7e8FgGRESwMAeGzatGly8sknB7zpwDOdluz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", + "image/png": 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", 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" ] @@ -651,9 +500,67 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 36, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Coefficients: [0.01399746 0.84319779 0.31656928 0. 0.06264556 0.03099713\n", + " 0. 0.02487077 0. 0. 0. ]\n", + "\n", + "\u001b[96m\u001b[4mAUC ROC\u001b[0m: 0.7858954393770856\n", + "\n", + "\u001b[96m\u001b[4mBalanced accuracy\u001b[0m: 0.7150166852057842\n", + "\n", + "Accuracy: 0.7133\n", + "\n", + "Classification Report:\n", + " precision recall f1-score support\n", + "\n", + " 0 0.75 0.66 0.71 155\n", + " 1 0.68 0.77 0.72 145\n", + "\n", + " accuracy 0.71 300\n", + " macro avg 0.72 0.72 0.71 300\n", + "weighted avg 0.72 0.71 0.71 300\n", + "\n", + "\n", + "Confusion Matrix:\n" + ] + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "fig = model_ccd.plot(X_valid, y_valid, measure=ba)\n", "fig.savefig(os.path.join(results_dir, 'logregccd_ba.pdf'), format='pdf', bbox_inches='tight')\n", From 54eed492a6d9b4141e760ad3465c87b2b7539d43 Mon Sep 17 00:00:00 2001 From: Weronika Gozdera Date: Sun, 30 Mar 2025 16:14:50 +0200 Subject: [PATCH 3/9] Pylint + fix --- notebooks/comparison.ipynb | 20 ++++++++++---------- src/data/data_loader.py | 2 +- 2 files changed, 11 insertions(+), 11 deletions(-) diff --git a/notebooks/comparison.ipynb b/notebooks/comparison.ipynb index 8c815d1..1a0d831 100644 --- a/notebooks/comparison.ipynb +++ b/notebooks/comparison.ipynb @@ -74,14 +74,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "Test Accuracy: 0.7176\n", + "Test Accuracy: 0.7491\n", "(100,)\n", "(5, 100)\n" ] }, { "data": { - "image/png": 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", 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", 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" ] @@ -93,7 +93,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "[[1.02421068 0.48881911 0.42663744 0.15547913 0.21746136]]\n" + "[[1.28215493 0.59073608 0.52254251 0.26969095 0.10609265]]\n" ] } ], @@ -133,13 +133,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "Test Accuracy: 0.7133\n", - "Best Beta: [0.16389221 1.02247943 0.48739337 0.4250988 0.1541421 0.21617385]\n" + "Test Accuracy: 0.7833\n", + "Best Beta: [0.09176426 1.2014091 0.53178981 0.46816133 0.22303749 0.06626585]\n" ] }, { "data": { - "image/png": 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p02q1yEuxuzArI7KmX44sX0j2Q5aolOUpZd5PWX6SyJbx8072gp912yRLe8vgoym3XYrdhVlTaYEEWYZZ+/sHz9XVVb3v/AePbB0/72Qv+Fm3bZdTEsoLwIiIiIjIajHMEhEREZHVYpglIiIiIqvFMEtEREREVothloiIiIisFsMsEREREVkthlkiIiIisloMs0RERERktRhmiYiIiMhqMcwSERERkdVimCUiIiIiq8UwS0RERERWi2GWiIiIiKwWwywRERERWS2GWSIiIiKyWgyzRERERGS1GGaJiIiIyGrpzN0BW/fWvwfx69bT0GocjM3BAVpt6dZ0TqOBTuMAjcZBbbXltuX3dXI/bflzxsfJOeNWA73pvNYBenVfjdrqyt1Xry13ruzYuO9Yyb7cV6+T5zbuy+s7ODiY+1dLRERExDBb07LyipCaUwhbIjlWgq5qEnLLtg5w1GnVvqPaP3cfp9LzTroLj1XTa+Gkla3xNufSrRw7lx4762V77jYJ1URERGTfGGZr2P8GNMKd3SNQbDCguKRiKyoxoET2Dcb94uLSc6bjkhIUFZ+777ltidrKbUXFJWW3Far7lqBQ3VbuPnKu3H0LZVtsUPcrLJJzxuMC0/nikgr78pjyDAYgv6hENeSb7VergrIp5Lo4auFSGnZdzj921MDVUQdHDRAd44DUzdFwd3GCq9zHUQs3R53ad3MybtW+o06NlBMREZFlY5itYYEezqpZMwnchaWBWMKvKewWqH1j4M03nS8ynTfeJ7/0+Ny2uOw+xkBcXHZbXqFxP7/CfjHyCkuPC43PaaL6UFyCjLyiKvw0WiyIPnRZ95QwLAHXzckYbt1L992d9XCXrTo2nveUc846eDgbj2Xr4axX5yVwsyyDiIioZjDM0n+SEUonjRZO8mlxMm9fZAS6fMDNlVYgwVe2JcbjwmLkFZTeVnq7bLPyCnD0RDR8A4KRW2RAbkERcgqKS1sRcvKLkV1QBNNAtOnxSVlX12epVfZ00auAK+HW00UHLxe9asZj4763qx7eLo5l+16ueng46RiEiYiILoFhlqyK1MlKyYCrY9UfW1hYiIULT2LYsLbQ6/WV3sdgMKigLOE2uzTcZucXIbugWG2zpOUVle1nym2yzTOez8grNJ7Pk1aogrGUaaRkF6h2JT+vd2m49XF1hLerI3xc9fB1c4SPm6Pa+rqe2/dzd2QAJiIiu2LWMLtmzRpMnToV27dvR2xsLP7880+MHj36ko9ZtWoVHnvsMezfvx9hYWF44YUXcOedd9Zan8m2SQhU9baOWvi5X91zSTCWECyhNiPXGHQzcgtLt0VIzy1UTc6lle6n5xi3abkFKlTLSHRydoFqQPZl1xJLqJXm6+YEfzdHBHg4wd/dCf4ejmorxwHuTiogszaYiIismVnDbHZ2Ntq0aYO77roLY8eO/c/7nzhxAsOHD8cDDzyAn376CcuXL8c999yDOnXqYPDgwbXSZ6KqBGOpn5VWx6vqj5cyirQcY7BNzS5EWk6BmhkjVbYy0ptjHO1NLQ27si8lE1JHHJuep9rllEBIsA2UcCv13Z5OCPJwRrCXEwI9nRHs6YwgT2c1GszRXiIiskRmDbNDhw5V7XLNmDED9evXx/vvv6+OmzVrhnXr1uHDDz9kmCWbIzMxBHtJu/wLCKU+ODk7XwXb5KwCJGXlI6lsW9oyC5CYZbyPlECcC77pF31emUatjpdzaXNRfaorzdulrHk6s7yBiIhqn1XVzG7cuBEDBgyocE5C7KOPPnrRx+Tn56tmkpGRUVY/KY3sh+n9tuX3XecABLnrVUOQ2yXvKzNOSNBNzMxXLSGrdJuZj7iMfMRnyH4eUrIL1WwTp5JzVLsYmenBFHBDvV0Q4uOstqE+xia1vwy7tccePu9Egp9121SV99OqwmxcXByCgoIqnJNjCai5ublwcXG54DFvvfUWpkyZcsH5JUuWwNXVtUb7S5Zp6dKl5u6CRfIqbQ3l2ji/0ga5gA1ILwDSVHNAWr5xm1q6TckHsosc1AVzRxOyVauMk9YAfyfAz7nc1hnwdzbA1wlg6W7N4Oed7AU/67YlJ+figydWHWavxLPPPqsuGDOR4CsXjg0aNAienp5m7RvV/l958o/dwIEDLzqbAV0ZKW84m56Hs+m5iEnNw9m0XJxOzUVMWi7OpOYiMasA+cUOiMkBYnIuTK2yelyYjwvq+bkiws9NbSP9XVHf3w1BHk4c0b0C/LyTveBn3TaZvkm3uTAbHByM+Pj4CufkWEJpZaOywsnJSbXzyQeeH3r7xPe++snv09PNGU3rel/0YjYJtdEp2YiWcoWUHJxOycHJ5BxEp+SoMoaopBzVgKQKj3Vz1CIywB0NAtzQIMAdjYLc0TDQQwVeWUqZLo2fd7IX/Kzblqq8l1YVZrt164aFCxdWOCd/jcl5IrLsi9kaBkoIvXC+M5l+LDY9FyeTcnAiORsnk4wtKilbBV2Z3mxvTLpq54/myshto0APFXCbBnugSbAnwn1d1fy8RERkH8waZrOysnDs2LEKU2/t2rULvr6+CA8PVyUCMTEx+P7779XtMiXXp59+iqeeekpN57VixQr8+uuv+Oeff8z4UxDR1ZDgGerjqlrPRv4VbpMRWxnNPZaQjeOJWaodSzA2mYbsSHyWath77jGyfHDjIA80CfJAszqeaF7XU21lZTUiIrI9Zg2z27ZtQ79+/cqOTbWtd9xxB7799lu1kEJ0dHTZ7TItlwTXyZMnY9q0aQgNDcXMmTM5LReRjZIpwaSkQFp5JSUGVZ97NCELR+MzcTguC4fjM3A0PkstNrHnTLpq5YV4u6hg27yOJ1qFeKFVqJeaQ5eIiKybWcNs37591SpJFyOBtrLH7Ny5s4Z7RkSWTFNuNLdfk8AKJQunkrNxOC4Th+IycTA2AwdiM1S9rlyMJm3pgXN197JghATbliFeaB3ihbbh3mqFNCIish5WVTNLRPRfJQtysZi0oa3qlJ2XZYIPxmVg/1lp6dgXk65KFWRe3RWHElQrP4LbNsxbtTZh3irsyvLGRERkmRhmicjmebnq0TXSTzWTnIIiNXK794xcXJaBPWfScCwxq2wE95+9sWVL/rao64n29XzQPtwHHer5qIUhiIjIMjDMEpFdcnXUoUM9X9VMMvIKse9MOnadScPu02nYGZ2mVkTbfSZdtW/Wn1T3k2V9O9f3RacIX3Sp76tmaeBcuERE5sEwS0RUytNZj+4N/VUTUtMvo7TbT6Vix6lUbI9OxcHYTMSm52H+rrOqCV83R3Ss54MukX7oFumnpgmTul4iIqp5DLNERBcho62mC81GtQ0pK0+QEdstJ1JU23k6FSnZBVhyIF414VNa1tC9gR+6NfBTiz1w5JaIqGYwzBIRVbE8oUdDf9VMc+HKgg4SbDdFJWPryRSk5hTi331xqokgTyf0ahSAXo380bOhP/w4YwIRUbVhmCUiusq5cOWiMGkT+zZAYbHMc5uGDceSsTEqGdtOpSI+Ix9zt59RTcgFZRJu+zUJUBeWcVleIqIrxzBLRFSNJJiaLix7uH8j5BUWq9HatUeTsOZIopr/1jhFWAZmrD4OD2cdejcKQN8mAejTJACBHlzIgYioKhhmiYhqkLNeW1piEIDnhjVDQmYe1h9LwurDiVh9JFGVJMg0YKapwFqHemFAsyAMbB6kLiRjrS0R0aUxzBIR1SIZeR3TLlQ1WbFs95k0rDqUgJWHE1XtrWkp3g+WHkGoj4sKtdI6R/hCx3IEIqILMMwSEZlxxTJZiEHaY4OaqFHblYcS1JK7UpYgy/DK3LbSZIYECbWyslmPBv6qVpeIiBhmiYgsatT2pk7hqskUYBJolx2Ix/JDCWr6r1+3nVFN6mwHNjMG296N/eGk43K7RGS/GGaJiCx0CrDBLYJVKyouwZaTKfh3bxwW7Y9DYmY+/tgZo5oE2yEtgjGyTV01ry1LEYjI3jDMEhFZOAmo3Rv4q/bKtS2wIzoVC/fGqnAbl5GH37afUc3f3RHDWtXBtW3qonVdd3N3m4ioVjDMEhFZWZ1tpwhf1V4c3lxN+7Vg91kVbpOyCvD9xlOqhfu6oLmrA1qm5KBBkJe5u01EVGMYZomIrJRG44AukX6qyYitTPklwXbxvjhEp+QiOkWLRR+uQ6cIH4xtH4rhrevA01lv7m4TEVUrhlkiIhtZrKFvk0DVckYXYeGes5i5dDcOZ2iw9WSqalP+2o9hLevgpk5h6Fzfl3PYEpFNYJglIrLBi8dGtakDfcxOtO/ZFwv3JaildI8mZJVdOFbf3w03dgzDdR1CuOoYEVk1hlkiIhsW7OmM+/s0wH29I7HrdBrmbD2Nv3afxYmkbLyz6BDeW3IYg5oH4fau9dCtgR9Ha4nI6jDMEhHZAQmp7cJ9VHtxRHP8sycWs7dGY0d0Gv7dF6daZIAbbutSD9d1CIWXC2tricg6MMwSEdkZNycdbuwUptrhuEz8uOkU/thxBlGJ2Xj17wN4d/EhjGoTgjt7RKBZHU9zd5eI6JI4uzYRkR1rEuyB10a3xObnB+D10S3RNNgDeYUlmLPtNIZOW4tbvtykltctLjGYu6tERJXiyCwREcHdSYfbutbDrV3Cse1UKr7dcBKL9sVhY1SyavX8XHFHtwjc0DEUHpzei4gsCMMsERFVqK01LcoQk5aL7zeexC+bo3EqOUeVIHy49Ahu7VoPd/WIQKAnZ0EgIvNjmQEREVUqxNsFzw5thk3P9VclCHKBWGZ+EWasPo6e76zEM7/vwfHELHN3k4jsHMMsERH957y1UoKwbHIffDW+IzrU80FBcQlmbz2NAR+sxn3fb1PTfhERmQPLDIiI6LKXzx3YPEi1bSdTMGN1FJYdjMeSA8bWq5E/HunfSJUoEBHVFoZZIiKqso4RvpgZ4YtjCZn4fFUU5u2KwdqjSap1qe+rQm13LsJARLWAZQZERHTFGgZ64P0b22DVE31xS+dw6LUO2HwiBbfO3IzrZ2zEuqNJMBg4rRcR1RyGWSIiumphvq54a2wrrHmqH+7sHgEnnQbbT6XitlmbcfOXm7DlRIq5u0hENophloiIqk0dLxe8cm0LrH26Hyb0iICjVqNGam/8YiNun7WZF4oRUbVjmCUiomoX6OGMl0e2wOqn+qqFGHQaB1VPO3r6etzz3TYcjc80dxeJyEYwzBIRUY2O1L4xphVWPtEX13cIhcYBagaEwR+twdNz9yAuPc/cXSQiK8cwS0REtVJT+94NbbD0sT4Y0iIYJQZgzrbT6PveSry76BAy8grN3UUislIMs0REVGsaBLhjxu0d8PvE7ugU4YO8whJ8tuo4er+7Et+sP4HC4hJzd5GIrAzDLBER1TpZRezX+7upFcUaBrojLacQU/46oMoPVh5KMHf3iMiKMMwSEZFZyIIKsprYov/1whtjWsLPzRFRidmY8O1WjP96Cy8SI6LLwjBLRERmpdNqcGuXelj5ZF/c1ztSLbyw5kgihkxbi5fm70NaToG5u0hEFoxhloiILIKnsx7PDWuGpZP7YFDzIBSXGPD9xlO45v3VmLM1GiVy1RgR0XkYZomIyKJE+Lvhy/Ed8fM9XdA4yB0p2QV4+ve9GPv5BuyLSTd394jIwjDMEhGRRere0B//PNILLwxvBjdHrVo9bOSn6/DivH1Iz+FUXkRkxDBLREQWS6/V4J5ekVjxRF+MalsXBgPwwyYpPViFeTtjYJATRGTXGGaJiMjiBXk6Y9rN7fDLvV3RKNAdydkFeHTOLjXrQXRyjrm7R0RmxDBLRERWo1sDP1V68MSgxnDUabD2aBIGfbQaX6w+jiIuuEBklxhmiYjIqkiInXRNIzU/bbdIP7WK2Fv/HsLIT9djz5k0c3ePiGoZwywREVmlyAB3/HxvF0y9vjW8XfU4GJuBMZ9twLuLDiG/qNjc3SOiWsIwS0REVr2K2A0dw7DssT4Y2aaumpv2s1XHMeLjdWr2AyKyfQyzRERk9fzdnfDJLe0w47YOav9oQhbGfrYeb/17EHmFHKUlsmUMs0REZDOGtAzG0sm9MbptXciCYV+sjsLwj9diN0dpiWwWwywREdkUHzdHfHRzO3x5ewcEeDjheGK2Wj1s2rKjnPGAyAYxzBIRkU0a1MI4SjuidR1VS/vhsiO4bsZGRCVmmbtrRFSNGGaJiMhmebs64tNx7THt5rbwcNapcoPhH6/Dj5tOcfUwIhvBMEtERDZvVNsQLH60N7o38ENuYTFemLcPE77disTMfHN3jYiuEsMsERHZhbreLvjx7i54cURztfDCqsOJGDptLdYeTTR314joKjDMEhGR3dBoHHB3z/r4a1JPNA5yR1JWPm6ftQVv/3sIhbw4jMgqMcwSEZHdaRLsgfkP9cS4LuHqeMbq47hhxkacTskxd9eIqIoYZomIyC65OGrx5phW+PzW9vB01qkVw4ZNW4u/95w1d9eIqAoYZomIyK4NbVUH/z7aGx3r+SAzvwiTft6J1/4+wLIDIivBMEtERHYvxNsFs+/rigf7NlDHs9adwK1fbUZCZp65u0ZE/4FhloiICIBOq8FTQ5rii9s7wMNJhy0nUzDi43XYdjLF3F0joktgmCUiIipncItgzJ/UA40C3ZGQmY+bv9yEb9af4CILRBaKYZaIiOg8kQHumPdQD7UUblGJAVP+OoAn5+5BQRHraIksDcMsERFRJdycdPjklnZ4YXgzaByAudvP4PZZm5GWU2DurhFROQyzREREF+Hg4IB7ekXi6zs7wd1Jh80nUjDmsw04kZRt7q4RUSmGWSIiov/Qt0kg5k7spmY9kCA75rP12BSVbO5uERHDLBER0eVpGuyJPx/qjjZh3kjLKVQlB1J6QETmxTBLRER0mQI9nDHnvq4Y3qoOCosNeOK33Zi27ChnOiAyI4ZZIiKiKnDWa9WFYRNLF1j4cNkRPPfnPhRxxTAis2CYJSIiqiKNxgFPD2mK10a1gIMD8MuWaDzw43bkFhSbu2tEdodhloiI6Ard3i0Cn9/aAU46DZYdTMC4mZuQks2pu4hqE8MsERHRVRjSMhg/3dMFXi567IxOw/Wfb8DplBxzd4vIbpg9zE6fPh0RERFwdnZGly5dsGXLlkve/6OPPkKTJk3g4uKCsLAwTJ48GXl5ebXWXyIiovN1jPDF76VTd0UlZWPs5xtwKC7D3N0isgtmDbNz5szBY489hpdffhk7duxAmzZtMHjwYCQkJFR6/59//hnPPPOMuv/Bgwcxa9Ys9RzPPfdcrfediIiovIaBHvjjwe5oGuyBxMx83PTFJuyMTjV3t4hsnlnD7AcffIB7770XEyZMQPPmzTFjxgy4urri66+/rvT+GzZsQI8ePTBu3Dg1mjto0CDccsst/zmaS0REVBuCPGXqrm5oH+6N9NxC3DpzM9YfSzJ3t4hsmtnCbEFBAbZv344BAwac64xGo443btxY6WO6d++uHmMKr1FRUVi4cCGGDRtWa/0mIiK6FC9XPX68pwt6NfJHTkExJnyzFYv2xZm7W0Q2S2euF05KSkJxcTGCgoIqnJfjQ4cOVfoYGZGVx/Xs2VNNUF1UVIQHHnjgkmUG+fn5qplkZBhrmAoLC1Uj+2F6v/m+kz3g59289A7A5+Pa4rHf9mDJgQQ8+NN2vDWmBca2CzF312wOP+u2qSrvp9nC7JVYtWoV3nzzTXz22WfqYrFjx47hf//7H1577TW8+OKLlT7mrbfewpQpUy44v2TJElXSQPZn6dKl5u4CUa3h5928hngC6QEabE7U4Ok/9mPLjj3oXYerhdUEftZtS07O5c8I4mAw0xp8UmYgYXLu3LkYPXp02fk77rgDaWlpmD9//gWP6dWrF7p27YqpU6eWnfvxxx9x3333ISsrS5UpXM7IrMyCICO8np6eNfKzkeX+lSf/2A0cOBB6vd7c3SGqUfy8W46SEgPeXnwE32w4pY6fHdIYd/WIMHe3bAY/67ZJ8pq/vz/S09P/M6+ZbWTW0dERHTp0wPLly8vCbElJiTqeNGnSRVP6+YFVq9Wq7cUyuZOTk2rnkw88P/T2ie892RN+3i3DSyNbwM1Jj09XHsNbi46gGA54sG9Dc3fLpvCzbluq8l6atcxApuWSkdiOHTuic+fOag7Z7OxsNbuBGD9+PEJCQlSpgBg5cqSaAaFdu3ZlZQZSXiDnTaGWiIjI0jg4OOCJwU2g12rw4bIjeHfRYRQWGfC/AY3M3TUiq2fWMHvTTTchMTERL730EuLi4tC2bVssWrSo7KKw6OjoCiOxL7zwgvoHQbYxMTEICAhQQfaNN94w409BRER0eSS86rQOmLr4sAq1RSUleGxgY/XfNiK6Mma/AExKCi5WViAXfJWn0+nUggnSiIiIrNFD/RrCSafB6/8cxCcrjqGguATPDGnKQEtkrcvZEhER2Zt7ekViyrUt1P4Xq6Pw9qJDF732g4gujWGWiIjIDO7oHoHXR7csC7TvLznCQEt0BRhmiYiIzOS2rvXKRmhlpoNpy4+au0tEVodhloiIyMwjtC8Mb6b2P1p2FNNXHjN3l4isCsMsERGRBdTQPjO0qdqXmQ6+WH3c3F0ishoMs0RERBbggT4N8MSgxmr/rX8PYda6E+buEpFVYJglIiKyEJOuaYRH+hsXUnjt7wP4ZUu0ubtEZPEYZomIiCzI5AGNcH+fSLX/3J978dfus+buEpFFY5glIiKyILJ4giyiMK5LOGSmrslzdmHloQRzd4vIYjHMEhERWWCgfW1US1zbpi6KSgx44Mft2ByVbO5uEVkkhlkiIiILpNU44P0b26B/00DkF5Xg7u+2Yc+ZNHN3i8jiMMwSERFZKL1Wg+m3tkfXSF9k5Rfhjq+34Gh8prm7RWRRGGaJiIgsmLNei5l3dEKbUC+k5hSqQBufkWfubhFZDIZZIiIiC+fupMO3EzojMsANZ9PzMOGbrWqklogYZomIiKyCj5sjvr2zM/zdHXEgNgMP/rQDhcUl5u4WkdkxzBIREVmJcD9XzLqjE1z0Wqw5kogX/twHg8zfRWTHGGaJiIisSJswb3xySztoHIA5207j0xXHzN0lIrNimCUiIrIyA5oHYcq1LdT++0uP4PftZ8zdJSKzYZglIiKyQrd3iyhb9vbp3/dgw/Ekc3eJyCwYZomIiKzU04ObYkTrOmqVsIk/7sCJpGxzd4mo1jHMEhERWSmNxgHv3dAGbcO8kZ5biLu/3Yr0nEJzd4uoVjHMEhERWfmiCl+O74C6Xs6ISsrGQz9zyi6yLwyzREREVi7Qw1mtEubqqMW6Y0l47e8D5u4SUa1hmCUiIrIBzet64sOb2sLBAfh+4yl8v/GkubtEVCsYZomIiGzE4BbBeGpwU7U/5a8DWHs00dxdIqpxDLNEREQ25IE+kbiufSiKSwxqyVvOcEC2jmGWiIjIhjg4OODNsS3RoZ4PMvOKcN/325CVX2TubhHVGIZZIiIiG+Ok0+Lz29ojyNMJRxOy8Pivu1BSYjB3t4hqBMMsERGRjc5wMOO2DnDUarB4fzymrzxm7i4R1QiGWSIiIhvVLtwHr41uofY/WHYEyw/Gm7tLRNWOYZaIiMiG3dQpHLd3rQeDAXh09i4cT8wyd5eIqhXDLBERkY17cURzdIrwQWa+8YKwzDwueUu2g2GWiIjIxjnqNPjs1g4I9nTG8cRsPP7rbhhkqJbIBjDMEhER2YEADyfMuN14QdiSA/H4am2UubtEVC0YZomIiOxE2zBvvDSyudp/Z9FhbDmRYu4uEV01hlkiIiI7cmuXcIxuW1etEDbp5x1IyMwzd5eIrgrDLBERkd2tENYKjYPckZCZj//9sgtFxSXm7hbRFWOYJSIisjOujjp1QZiboxYbo5LxwdIj5u4S0RVjmCUiIrJDDQPd8fZ1rdX+Z6uOc0EFsloMs0RERHZqZJu6uLN7hNqfPGcXTqfkmLtLRFXGMEtERGTHnhvWDO3CvZGRV4RJv+xEIetnycowzBIREdn5ggqfjmsPT2cddp9Ow3uLD5u7S0RVwjBLRERk50K8XfDu9W3U/hdrorDqcIK5u0R02RhmiYiICENaBmN8t3pqX5a7jc/g/LNkHRhmiYiIqKx+tlkdTyRnF6gLwmRhBSJLxzBLREREirNei0/HtYOroxYbjifjs5XHzN0lov/EMEtERERlGgS449VRLdX+h8uOYMuJFHN3ieiSGGaJiIiogus7hGJsuxBIlcH/Zu9EWk6BubtEdFEMs0RERHSBV0e3RH1/N8Sm5+H5P/fBYGD9LFkmhlkiIiK6gLuTDh/d1BY6jQP+2RuLP3bEmLtLRJVimCUiIqJKtQnzxqMDGqn9lxfs53K3ZJEYZomIiOiiJvZtiE4RPsjKL8Kjc3ahiMvdkoVhmCUiIqKL0moc8MGNbeHhpMP2U6n4bNVxc3eJqAKGWSIiIrqkMF9XvDq6hdqftvwodp1OM3eXiMowzBIREdF/Gt02BCPb1FWrgj06eyey84vM3SUihWGWiIiI/pODgwNeH90Sdb2ccTI5B6/9fcDcXSK6sjC7aNEirFu3rux4+vTpaNu2LcaNG4fU1NSqPh0RERFZCS8XPT64qS0cHIDZW09j5aEEc3eJqOph9sknn0RGRoba37t3Lx5//HEMGzYMJ06cwGOPPVYTfSQiIiIL0TXSD3f3qK/2n/59D1cHI+sLsxJamzdvrvZ///13jBgxAm+++aYaof33339roo9ERERkQZ4Y3AQNAtyQkJmPVxbsN3d3yM5VOcw6OjoiJ8c4afKyZcswaNAgte/r61s2YktERES2y1mvxfs3toXGAZi36yz+3Rtr7i6RHatymO3Zs6cqJ3jttdewZcsWDB8+XJ0/cuQIQkNDa6KPREREZGHahnljYt8Gav/5efuQlJVv7i6RnapymP3000+h0+kwd+5cfP755wgJCVHnpcRgyJAhNdFHIiIiskCP9G+EpsEeSMkuwAt/7oPBYDB3l8gO6ar6gPDwcPz9998XnP/www+rq09ERERkBZx0WrU62Kjp67Bofxzm7zqL0e2Mg1xEFjsyq9VqkZBw4VQcycnJ6jYiIiKyH83reuKRaxqp/Zfm70N8Rp65u0R2psph9mJfIeTn56uLw4iIiMi+SO1sm1AvZOQV4dk/9rLcgCyzzODjjz8uWwFk5syZcHd3L7utuLgYa9asQdOmTWuml0RERGSxdFoN3ruhDYZ/vA4rDiVgwe6zGNWW5QZkYWHWVBMrf23NmDGjQkmBjMhGRESo80RERGR/GgV54OFrGuL9pUfU3LM9GvrD393J3N0iO6CrymIJol+/fvjjjz/g4+NTk/0iIiIiK/NA3wZYuC8OB2MzVKD9dFx7c3eJ7ECVa2ZXrlzJIEtEREQX0Gs1mHp9a2g1Dvh7TyyW7I8zd5fIDlR5ai6pj/3222+xfPlyNatBSUlJhdtXrFhRnf0jIiIiK9IyxAv39orEjNXH8cK8fegS6QcvF725u0U2rMph9n//+58Ks7LyV8uWLdUFYUREREQmjw5opEZlo5Ky8cY/B/Du9W3M3SWyYVUOs7Nnz8avv/6KYcOGVUsHpk+fjqlTpyIuLg5t2rTBJ598gs6dO1/0/mlpaXj++edV3W5KSgrq1auHjz76qNr6Q0RERFfHWa/FO9e3xo1fbMSv285gZJu66NUowNzdIhtV5ZpZmbmgYcOG1fLic+bMwWOPPYaXX34ZO3bsUGF28ODBlS7KIAoKCjBw4ECcPHlSLad7+PBhfPXVV2VL6hIREZFl6BThi/Fd66n9Z37fi+z8InN3iWxUlcPs448/jmnTplXLhMgffPAB7r33XkyYMAHNmzdXU3u5urri66+/rvT+cl5GY+fNm4cePXqo6cD69OmjQjARERFZlqeGNEWItwti0nLx4dIj5u4O2agqh9l169bhp59+QoMGDTBy5EiMHTu2QrtcMsq6fft2DBgw4FxnNBp1vHHjxkofs2DBAnTr1g0PPfQQgoKCVM3um2++qS5KIyIiIsvi5qTD62Naqv2v15/Avph0c3eJbFCVa2a9vb0xZsyYq37hpKQkFUIllJYnx4cOHar0MVFRUWq2hFtvvRULFy7EsWPH8OCDD6KwsFCVKlxsmV1pJhkZGWorj5FG9sP0fvN9J3vAzztZip6RPhjeMhj/7IvDM7/vwdz7u6ipu6oLP+u2qSrvZ5XD7DfffANzkWnAAgMD8eWXX6oVyDp06ICYmBh1AdnFwuxbb72FKVOmXHB+yZIlqqSB7M/SpUvN3QWiWsPPO1mCrk7ACq0W+85m4NlvFqFvnasvVTwfP+u2JScnp+bCrCgqKsKqVatw/PhxjBs3Dh4eHjh79iw8PT3h7u5+Wc/h7++vAml8fHyF83IcHBxc6WPq1KkDvV5fYSndZs2aqZkQpGxBLk4737PPPqsuMis/MhsWFoZBgwap/pJ9/ZUn/9jJRYTyOSKyZfy8k6UxhJzGSwsOYslZR0y+vgfqeDlXy/Pys26bTN+k10iYPXXqFIYMGYLo6Gj19b18eCTMvvPOO+pYLuK6HBI8ZWRVFl8YPXp02cirHE+aNKnSx8hFXz///LO6n9TXiiNHjqiQW1mQFU5OTqqdTz7w/NDbJ773ZE/4eSdLcVvX+pi/Ow7bT6XitYWH8dX4jtX6/Pys25aqvJeaK1k0oWPHjkhNTYWLi0vZeamjlSBaFTJiKlNrfffddzh48CAmTpyI7OxsNbuBGD9+vBpZNZHbZTYD6YOE2H/++UddACYXhBEREZHl0mgc8OaYVtBpHLD0QDwWc6lbqiZVHpldu3YtNmzYcMFIqEyTJfWrVXHTTTchMTERL730kioVaNu2LRYtWlR2UZiM/ppGYIWUByxevBiTJ09G69at1fyyEmyffvrpqv4YREREVMuaBHvgvt6R+GzVcbw8fz+6N/CDhzNHU6mWw6x8xV/ZVFhnzpxR5QZVJSUFFysrkLrc88nUXJs2bary6xAREZH5PdK/Ef7eE4volBy8v+QIXrm2hbm7RFauymUGcuGULB9r4uDggKysLDWbAJeUJSIiov9a6vaN0rlnv994knPPUu2H2ffffx/r169XK3bl5eWp2QxMJQZyERgRERHRpfRqFICRbeqixAC8OH8fSmSHqLbKDEJDQ7F7927Mnj0be/bsUaOyd999t1rIoPwFYUREREQX8/ywZlhxMB47o9Mwd/sZ3NgpzNxdIit1RfPM6nQ63HbbbdXfGyIiIrILwV7OeHRAY7yx8CDeXnQIg1oEwdu18mk2ia46zC5YsABDhw5Vc37J/qVce+211dU3IiIismF39ojAb9tP40h8FqYuPow3xrQyd5fIVsOsLGogU2fJUrKmBQ4qIxeDVTbTAREREdH59FoNXh3VEjd/uQk/b4nGTZ3C0DrU29zdIlu8AEym45Iga9q/WGOQJSIioqroGumH0W3rwiAXg83bh2JeDEY1PZsBERERUXV6blgzeDjpsPtMOuZsPW3u7pCth9lHHnkEH3/88QXnP/30Uzz66KPV1S8iIiKyE4Gezpg8sLHaf3fxIaRkF5i7S2TLYfb3339Hjx49LjjfvXt3zJ07t7r6RURERHZkfLd6aBrsgbScQry/5LC5u0O2HGaTk5Ph5eV1wXlPT08kJSVVV7+IiIjIjui0mrKlbaXUIDo5x9xdIlsNsw0bNsSiRYsuOP/vv/8iMjKyuvpFREREdngxWO/GASgqMeCjZUfM3R2y1UUTHnvsMUyaNAmJiYm45ppr1Lnly5erZW4/+uijmugjERER2YknBjXGmiOJ+HNXDCb2bYBGQR7m7hLZWpi96667kJ+fjzfeeAOvvfaaOhcREYHPP/8c48ePr4k+EhERkZ2QeWYHtwjC4v3x+GDpEXx+Wwdzd4lscWquiRMn4syZM4iPj0dGRgaioqIYZImIiKhaPD6oCRwcgH/3xWFfTLq5u0O2PM9sQEAA3N3dq683REREZPcaB3lgVJu6av89zmxA1VFm0L59e1UX6+Pjg3bt2qllay9mx44dl/OURERERBf16IDG+GtPLFYdTsS2kynoGOFr7i6RNYfZUaNGwcnJSe2PHj26pvtEREREdi7C3w03dgzFL1tOY+riw5h9X9dLDqaR/bqsMCsjshqNsSJhwoQJCA0NLTsmIiIiqgkPX9MIv2+PweYTKVh3LAm9GgWYu0tkgTSXOx2XXOgl6tevz8URiIiIqMbV9XbBrV3D1f57iw/DYDCYu0tkrSOzdevWVcvYDhs2TH2QZCaDvLy8Su8bHm780BERERFdrQf7NsTsLaex+0w6lh1MwMDmQebuElljmH3hhRfw8MMPq8USpF6lU6dOF9xHQq7cVlxcXBP9JCIiIjsU4OGEO3tE4PNVxzFt+REMaBbI2lmqepi97777cMstt+DUqVNo3bo1li1bBj8/v8t5KBEREdFVubdXJL7bcBL7YjKw4lAC+jfj6CxVMcx+/PHHKtC2bNkS33zzDbp16wYXF5fLeSgRERHRVfF1c8Tt3erhi9VRmLb8KK5pytFZuooLwGQ528zMzMt5GBEREVG1uK9XJFz0Wuw5k46VhxPM3R2ytjBrugBMygxMF4BFR0dX2oiIiIiqm5+7kxqdFdOWHeXMBlSGF4ARERGR1dTOfr/xpJrZYNWRRPRrEmjuLpEF4AVgREREZDUzG9zWpR5mrjuhRmf7NuYiCnSZYVZ4eHiUXQDWo0ePsuVtiYiIiGrLfX0i8cOmU9h1Og1rjiahe31vc3eJzKzKa9LecccdyM3NxcyZM/Hss88iJSVFnd+xYwdiYmJqoo9ERERESqCHM27tYqqdPcLaWap6mN2zZw8aN26Md955B++99x7S0tLU+T/++EOFWyIiIqKa9ECfSDjpNNgRnYb1x42DamS/qhxmJ0+ejDvvvBNHjx6Fs7Nz2XlZ6nbNmjXV3T8iIiKiCgI9nXFL53C1/+nK4+DgrH2rcpjdtm0b7r///gvOh4SEIC4urrr6RURERHRRE/s2gKNOg+3RaThunAqf7FSVw6xc+GVaQKG8I0eOICCAVxUSERFRzQvydMYNHULV/tKYKscZsiFVfvevvfZavPrqqygsLFTHMresLJbw9NNP47rrrquJPhIRERFd4P7eDaDVOOBQugb7Yjg8a6+qHGbff/99ZGVlITAwUM1q0KdPHzRs2FBN3fXGG2/UTC+JiIiIzhPu54rhLYPV/hdrT5i7O2Tp88yaeHl5YenSpVi3bp2a2UCCbfv27TFgwICa6SERERHRRdzfOwIL9sRi8YF4HEvIQsNAd3N3iSw9zJr07NlTNSIiIiJzaRzkgZY+JdiXqsEXq49j6g1tzN0lqmVXVDG9evVqjBw5UpUXSJM62rVr11Z/72xBdjKQehJIOw1knAUy44GsRCAnBchNA/IzgYIcoCgfKC4C5xchIiKqmoEhJWr7584YxKTlmrs7ZOkjsz/++CMmTJiAsWPH4pFHHlHnpOSgf//++PbbbzFu3Lia6Kf1WvUmsHVmFR/kAGi0gIMW0OhK9zXn9mWrbjM1Xek5031M7bzbyz9eNf25Y62+4v20ptv0pfulx6Z92Va673juuGzf8cJ9eS4iIqJqEOEBdK3vg00nUvHVmii8cm0Lc3eJLDnMykVe7777rlo8wURC7QcffIDXXnuNYfZ8EvB0LoChBDAUAyXFAP5r9NUAlBQBKAKK82GTJHiXhdxyYVfnBGidAF2583Ku7Lxz6W2l59Sxad90bDrnYtzqS7fQwbkgGchJBlw8jffTcDoXIiJbWRVs04ntmL01Gg9f0xB+7vLvPtmDKofZqKgoVWJwPik1eO6556qrX7Zj6NvGVp6UEki4lWBrCrhl2/Lni8qdKzrvvCkcl54vf3tx4Xm3mfYLy+2Xa1LeUP52ebzaN91WWHqu6Nxt5Y+LCyrZLyhtpvsWnvc7KAGK8oytlugBDJad/ef+EFOhWMKu3hXQO5duXcqdMzUXwFG2bqVbV8DRrXQrzd14rJr7udsdHGrt5yMismfdI33ROtQLe86k45v1J/HE4Cbm7hJZapgNCwvD8uXLVa1secuWLVO30WWQgGMqE7AXEuBNYbcs5OafO6dqhgsq7lfY5gNFsp9Xek6CsGmbX3o+HyjMq3jO1ArzYCjKhaEgBxoJ+iaqD/lAXloN/NAO58Ktk3vp1uPc1sl0LPsegLNn6XnP0v3S5uxlHI0mIqKLknnvH+zbAA/8uAPfbTyJ+/tEwsNZhjHI1lU5zD7++OOqrGDXrl3o3r27Ord+/XpVLztt2rSa6CPZSoCXQGbGUFZUWIiFCxdi2JDB0EsJhwq5uaUtp/Q4p/SCvNJ9021yTm2zL9zKbQVZ5Y6zSl/RYNyXZjp1paRkwrk02JY1b+PWRbbexq2LT8Um52XkmIjIDgxqHowGAW44npiNHzdFqyVvyfZVOcxOnDgRwcHBavGEX3/9VZ1r1qwZ5syZg1GjRtVEH4mql4yIS0mBjIzWBCkBUUE4p3S2Cgm02UC+bDONWzlvanIuL6PcudJ9OSe3iaJcIEtafNX7I7XBLr7GcOtq2vqda27+xvOu/qX7/sbfDxGRldFoHDCxb0M88dtufL/xJO7tVR86La+NsHVXNM/smDFjVCOiSshFZaqEwB1wD7y655IaZhVs041Ngq5M6aaOS7fqOK3cNvVck/plGWXOlGnhzl7+60rpgwRbt4DS5g+4Bxl/HmlupVs5V1N/FBARXYGRbergrYUHEZueh2UHEzCkdIUwsl1VDrNbt25FSUkJunTpUuH85s2bodVq0bFjx+rsH5F9k1FkVT7gfWV1yjIqLKFWZnBQcxvLforxODcFyE4qva20ybFcrCcjwtJSL2N5SKkBllDrEXxuq1pdwLMO4FHaWO5ARLXASafFTZ3C8Nmq4/hh00mGWTtQ5TD70EMP4amnnrogzMbExOCdd95RoZaILKROWV1Q5gF4h19+AJbRXgm12YmlLcF4nJVgLHOQc6Z9VSecBaRIO37p55b6Xs9QwCsE8JSgG2rceoUC3mGAZ0jpFGpERFdnXJdwzFh9HOuPJXOJWztQ5TB74MABtG/f/oLz7dq1U7cRkZUHYNNIsH/FGUsqJSUQalW7OCAzzhhwZZsZa9yqVe9ijaHXVCqRsP9iL24c2TWFWwng3vUAn3rGrVcYa3mJ6LKE+rjimqZBWHYwHj9uOsVFFGxclcOsk5MT4uPjERkZWeF8bGwsdLorKsElImtlGvm9VPA1jfZKqE2PATLKNTlOPwOknzbW9koolhazrfLnknIFn/qAb33j1ifCuO8babyIjYio1Phu9VSY/X37GTw5uAncnJhRbFWV39lBgwbh2Wefxfz58+Hl5aXOpaWlqQUTBg4cWBN9JCJbGe0NbHbxwCs1u2nRxmCbJi0aSDtl3KaeAgqzS0d8Y4HoDRc+h8zS4NsA8GtwbuvfCPBraJzvl4jsSs+G/ojwc8XJ5BzM2xWDW7vUM3eXyFLC7HvvvYfevXujXr16qrRAyJyzQUFB+OGHH2qij0RkD4FXzZ7gD4S0v3jYlVArF6WlnKi4lYArF7fJiG5lo7pSoqCCbSMgoDEQ0NTY5PWIyGan6bqtaz28/s9B/LDxFMZ1DlcLK5DtqXKYDQkJwZ49e/DTTz9h9+7dcHFxwYQJE3DLLbdAr+dKG0RUw2E3tMOFt8s8vilRQPJx44VoybJ/FEg6apy1QUZ7pR1fUfFxMqeuhNrA0nAb1AIIbH5ls0cQkcW5oUMY3ltyGIfiMrHtVCo6RbAcyRZdUQGJm5sb7rvvvurvDRHRlZAyguBWxna+7ORzwTbpiLElHjKO8uYkAafWGVt5MtNCUHNjsFXP29pYtmBPS1AT2QAvVz1GtQnBnG2n8f3GUwyzNorV0ERk29xklTM/ILxrxfOyDLEKtoeBxINA/AEg4YBxBDfjjLEdXVJxSWEZua3T2hhw67Q1HnM6MSKLdnu3eirMLtoXi4TMZgj04KwotoZhlojskyziULetsZWnpg+TcLsPiN8PxMl2n3F6sfNrcjV64wiuBFv1XO2NAVfLkisiS9EyxAvtw72xIzoNc7acxsP9G5m7S1TNGGaJiM5f3EFGccuP5MqywlKTG7cHiNsLnN0FxO4yXnQWu9vYdnxnvK/O2RhuQzoY63tDOhrnzOWFJ0RmHZ2VMPvzlmhM7NsAOq3G3F2iasQwS0T0X6RWVmZDkNbyunMzLMi0YWd3GoOtbGN2AvnpwOlNxmbiHgyEdTYG5LAuxhpcnaPZfhwiezOsVR289vdBxKbnYdnBBC5xa2MYZomIroSMtMrqZNJajDaeKykBko8BMduN5QhnthlLFGQhiIMLjM00eislCfW6G5sEXCcut0lUU5x0WtzQMRRfrI7C3O2nGWbtPcwWFxfjww8/xK+//oro6GgUFBRUuD0lJaU6+0dEZD00mtJ5bBsDbW8xnivMNY7aRsto7Rbg9GbjdGGy8IO0tRKMtcaaWxVuexq3zp7m/mmIbMoNHYxhduXhRCRm5iPAgxdv2m2YnTJlCmbOnInHH38cL7zwAp5//nmcPHkS8+bNw0svvVQzvSQislZ6l3MjsKbyBBm9jd4InNoAnFwPpEeXjuZuBzZ8Ygy3snhE/d7GJiO38jxEdMUaBnqgbZg3dp1Ow7ydMbi3d6S5u0TmCrOyWMJXX32F4cOH45VXXlGLJTRo0ACtW7fGpk2b8Mgjj1RX34iIbLM8wVR/23688ZzU3p6ScLsOOLHWuKrZma3GtvZ9QOtkrLdtcA3QsD8Q1JIXlBFdASk1kDA7d/sZ3NOrPlcEs9cwGxcXh1atjBOTu7u7Iz09Xe2PGDECL774YvX3kIjI1slsB9La3HQu3EqoPbEaOLHGuFyv2l8NLHsZcAs0BlsVbgcY59Elov80onVdTPnrAA7HZ2JfTAZahXqZu0tkjjAbGhqK2NhYhIeHqxHZJUuWoH379ti6dSucnFh/QkR01STYtrvV2KQsQVYvi1oJHFsOnFwLZCcAe2YbGxyA0I5Ao8FA40HGmRI42kRUKS8XPQa3CMZfu8+qC8EYZu00zI4ZMwbLly9Hly5d8PDDD+O2227DrFmz1MVgkydPrpleWrHlp5Zjd+JuaBw0qmk1WuPWwbjVOejKzped05SeczCeM91m2pfHmM7Jfcvfp/zx+fcz3Wba8usVIisg/zs1XVTW5X6gKN94EdnxFcDRZUD83nMlCStfBzzqAI0GwaHhYGhKKl6gS0TA9R1CVZidv/ssnhveTM10QHYWZt9+++2y/Ztuugn16tXDhg0b0KhRI4wcObK6+2f1NsZuxJzDc2CJJOyaQm6FVu68XqNXzbR//lavLbdf7r6OWsdz57R6OGocz21N57SO6thJ61R2m2lftqbbGbqJypHlc00Xhg14BUiPMS67Ky1qlbEkYcd30O34DkM1TtDkLwCajwQaDQRcfMzdeyKz69nQH0GeTojPyMeKgwkY2qqOubtEtR1m16xZg+7du0OnMz60a9euqhUVFanbevfufbV9sild63SFs9YZxYZi1UoMJee2JeeOzz9XZCgqOzbdrlrpcVFJUdlW3b/0WG4vf5vpcZWR1ygqLgIqv9limEKuhNvyW9V0pdtyzVnnrH7ncptsTcc66HCg4AC8z3rD3dldnXfRuhi3OhfV5PEMz2RVvEKAjhOMrTDPeBHZ4X9hOPQPdBJsDy0wNo0OiOhlnBO36UjW2ZLd0mocMLZ9KD5fdVxdCMYwa/0cDAYpyLp8Wq1W1cwGBgZWOJ+cnKzOyTy0liwjIwNeXl7qwjVPT/uYx1HeYhVcJdyWhuHCksIKobd8M91mekz5c2Xb4sIK58pa6XlTKyguKDtfUFJQds50Xu2XGI/Lmhm/GnWAgwq3rjpXY8DVu5Tty9ZV73rhVu8KN50b3PRuxn29G9z17satoztHl8ksCgsKsOH36ejpnwHtkX+BxIPnbpSpvyJ6ngu27gHm7CrRVSksLMTChQsxbNgw6PX6y3rMsYQsDPhgtQq2G5+9BoEezjXeT6q5vKa7kmBU2X+YJcy6ublV9emoFsj7pXcwfuVvDeQzZgq6+cX5Zdvz903HecV5xm1Rnjonx/lFxm3ZuaI85BblIjYxFi6eLupcTlGO2uYW5pYFaAMM6n7SqouUbbg5lgu4end4OHqooGvaL9889Z4Vj508rea9Iwvi4IA010iU9B0G7cCXgeTjwIF5wIH5QOzuc7Mj/PM4UL8P0OoGoNkIwJkXxJDtaxjojnbh3tgZbZxz9r7eDczdJboKlx1mx44dWxaM7rzzzgozF8ho7J49e1T5AdHVks+YqpfVOsId7tX/1/vQC/96lxFmCbwSgCXcStCVQGvaqv3C0nOFOep8dmG2arIv58qOZb/IuJVwLCPc6fnpql0pGQWWUOvpaGzeTt7wcvJS57wcvcqOZauas/GYIZjK+DUAej1ubClRwIEFxnArq5PJTAnS/p4MNB5sDLaNBgF6jlaR7bqhQ5gKs1JqcG+vSH6DZg9hVoZ6TaNmHh4ecHE5txqNo6Ojqpu99957a6aXRDVMLlpTI6USnqtpoSWpZZbwm1mQqUJuVmEWsgqyKmzlNtP2/JZRkKFuEyowF+UgLjuuSn3w0HvAx9mnrPk6+8LH6dy+n4sf/Jz91FZCsPweyA74RgI9HzW2lBPAvrnAnt+ApMPAwQXG5uQFtBwDtL0VCO3E6b7I5gxvXQdT/tqPI/FZ2BuTjtah3ubuEl2hy/4v1zfffKO2EREReOKJJ1hSQPQfZHo1KSuQdqWkxlkCrYzqSrjNyM9AeoFxlFe1cvtp+Wlqm5qfqu4no8KZhZmqRWdGX1a9sIRcCbb+zv7wdzE2OQ5wCUCAa4DaBroGqtpgshG+9YHeTwK9ngDi9wF7fwP2/g5knAG2f2tsvg2AtuOANjcDXqHm7jFRtc45u0DNOXuGYdaKVXkY5uWXX1YzFyxbtgzHjx/HuHHj1Ejt2bNnVYGurApWVdOnT8fUqVPV6mJt2rTBJ598gs6dO//n42bPnq2W0x01ahTmzZtX5dclsnQyT7CUC0iragiW8Jual6rCrWxT8lLKjlNyU9Rxcl5y2XkJv7Iv7SiO/mfZg4RaUwtyDTJu3YIQ7BqstjLiy6/trIi8V8GtjK3/K8ZZEXb9bKyxTTkOrHgNWPE6ENkX6HAH0GQ4oHM0d6+JrnrOWQmz83edxfOcc9Z+wuypU6cwZMgQtUhCfn4+Bg4cqMLsO++8o45nzJhRpeebM2cOHnvsMfU4WYjho48+wuDBg3H48OELZkwo7+TJk2qEuFevXlX9EYjsIgSbSgsuN/xKyE3OTVYBV7ZJuUmqJeYmquOEnAS1b6oTPplxUrWLkVkcVLh1C0YdtzpqW9etLuq6G5uck7poskAazbm5bIdNNdbX7v7FuPqYqb7W1d84Wtv+DsC/obl7THRFejT0R7CnM+Iy8rDyUCKGtAw2d5eoNsLs//73P3Ts2BG7d++Gn59fhZXBrqRm9oMPPlCPmzBhgjqWUPvPP//g66+/xjPPPFPpY+SCs1tvvRVTpkzB2rVrkZaWVuXXJaKK4ddUVvBfJMwm5iSqYBufE4/47HgVdKWZjuU2mSHidOZp1S5GyhZC3EMQ6hFatg11D1VbGemVUg0yMyePc0vrpp4EdvwA7PwRyIoDNnxsbPV6Ap3uMk7zxdFasiIyNde1beviyzVRalYDhlk7CbMSHmXFL7noqzyppY2JianScxUUFGD79u149tlny85pNBoMGDAAGzduvOjjXn31VTVqe/fdd6v+XIqMFksrP2+Z6cp2aWQ/TO833/er4whHhLiGqIaLzLsvU6tJ4I3LiVMBVy5ck/2zWWcRmxOrtjJzhIReabsSd134OhpHFWrD3MNUwA3zCEO4RzjCPcNVKQODrhk+7+4hQO9ngJ5PwOHoEmh2/QCH48vhICUJp9bB4BaIkvZ3oKTdeOOyukRW8Fkf0TJIhdnlh+KRnJEDTxfOAmMJqvJ+VjnMlpSUVLowwpkzZ1S5QVUkJSWp5woKCqpwXo4PHTpU6WPWrVuHWbNmYdeuC//jV5m33npLjeCeb8mSJXB15UUs9mjp0qXm7oLdCSr9vzZoI1eaweBuQI4hB2klaUgtSUVKSUqFrZyXkd2o9CjVzieruflp/OCv9VfbAG0AAjQBauvkcG7aQKrhz7vH7XBuPgz1klcjImklnLMToF07FQ5rP0CsdwecCBiAZLcmnAmBLPqzLktHBbtoEZcLTJ29DN2CqrSWFNWQnJycmguzgwYNUnWtX375pTqWCzyysrLUhWGy+kZNyszMxO23346vvvoK/v7//XWokFFfqcktPzIbFhamfg57WQGMzv2VJ//YSZ335a4SQ+Yh8/7KiK4qU8gylirIjAymY3V7Sbxq55OL0SI8I1Dfsz4aeDdAQ6+GiPSKVAtQ2JPa/bzfDhQXoOjwP9BsmwXN6U0ISduimiG4NYq7TISh2SiANdJkoZ/10+5ReH/ZMZww+OO1YZ2qvY9UdaZv0mskzL7//vvqAq3mzZsjLy9PzWZw9OhRFS5/+eWXKj2XPEaWx42Pr/gfJDkODr6wbkVmT5ALv0aOHFlhpFj9IDqdumisQYOKq3jI4g7lF3gwkQ88A4194ntv+fTQI8IpAhE+ERfcJkE2Niu27AK0k+kncSLjBKLSotTFa6puNycem+M2XxByG/o0RCPvRmjs0xhNfJuowKvX2vZnodY+7/IabW40tri9wNaZwO45cIjbA938icbZEDrfC3S4E3D1rfn+kN25ms/6mA5hKsxuOZmKpJwi1PGqpgnH6YpV5b2scpgNDQ1VF3/JLASylVFZqV2VC7LKL6RwOaTutkOHDli+fDlGjx5dFk7leNKkSRfcv2nTpti7d2+Fcy+88IIasZ02bZoacSUi2yYLO4R5hqnWCxVnM5F5dk+kn1ClCcfTjqt2NO3ouYvTcuKxPmZ9hedq4NWgLNw292uutrLKGl0Fmd5r5DSg/8vAtq+BLV8CmWeB5VOANVOBdrcB3SYBPvXM3VMiJdTHFZ0jfLHlZAoW7DqL+/tweVtrckXL/cgoqIRXaVdLSgDuuOMONUOCzC0rJQzZ2dllsxuMHz8eISEhqvbV2dkZLVu2rPB4b2/jJMfnnyci+yPz8bYNbKtaeTLnrgTbY2nHcCTlCI6kGpssSHE49bBqf0X9VXZ/ueCsmV8zNPNthhZ+LdDCv0WV5/olmZDYF+j9BND9YWDfH8DG6UD8XmO43ToLaHU90ONRIKi5uXtKhNHtQlSY/XNnDMOsrYfZ5OTksim5Tp8+repXc3Nz1Vf/vXv3rnIHbrrpJiQmJuKll15Siya0bdsWixYtKrsoTOazlRkOiIiulIy0tgtsp5qJLM19NvusCrcSZg+lHFItJisGZ7LOqLb01LkLSmQmBQm1Lf1aolVAKxV0nXXOZvqJrIzOCWh7i3EFsROrgXUfAlGrgD1zjK3xUKDXY0DYfy+WQ1RThrUKxssL9uFQXCYOxWWgaTC/obEWDgb5F/0yyNf7ElglwDZq1EitviWLJ8goqoRN2c6dO7esXMCSC4q9vLyQnp7OC8Ds8CKBhQsXqgsVWTNLFyOlCgdTDuJQ8iEcSD6Afcn7Kp0rV+egUyUJbQLaoHVAa7WVuXItZdUzi/+8x+wwhtqDMiJe+p+hiF5A32eBiB7m7h1Zker8rN/7/TYsPRCPB/o0wDNDm1ZbH6lm89plj8w+9dRTaNWqFX766Sf88MMPGDFiBIYPH65GZsXDDz+Mt99+2+LDLBHRpUg5Qdc6XVUrH3D3J+1XwXZf0j7sSdyjLjbbn7xftZ8P/azuJ4tOyOhv+8D2aB/UXtXiSl0uVSKkPXDTD0DSUWD9R+piMbXC2LdrS0PtM0BET3P3kuzMmHYhKswu2BWDpwY3gUZjGX+c0qVd9r+yW7duxYoVK9C6dWu0adNGTc314IMPlpUASJjt2vXcP/5ERLYUcLuHdFetfImChNrdibvVVkZzZflfKU0wlSe46lzViG3H4I7oFNxJlSjY+uwJVebfCBg1HejzDLDuA+MKY6ZQKyuLSaitz2XLqXZc0zQQHk46nE3Pw9aTKegSeZGVYcg6w2xKSkrZdFnu7u5wc3ODj8+5dd9lX2YVICKydVJKICUF0obWH6rO5RXlqVHanQk7sSN+B3Yl7EJmYSY2xm5UTbjoXNA2oK0KttKkBlevYbhVvMOAER8CvR43lh/s+F6tKobvRgCRfYH+LwEhHczdS7JxznothrYKxq/bzmDerhiGWStRpe+/zq8Fs5TaMCIic5OLwToEdVANrYDikmI1e8KOhB3YGrcV2+K2ITU/tUK4ddO7oVNQJ3St2xXd6nRDfa/6/HfVKxQY/j7Q8zFjqN3+rfFiMWlNRwDXvAgEspaRas7otiEqzP6zJxavXNsCTjqtubtE1Rlm77zzzrIFCGTBhAceeECN0Ir8/PyqPBURkU3TarTqAjFptzS9RZUmyPRgW+K2YFv8NrWVWtxVZ1apJgJdA1Wo7RnSE93qdrPv6cC8QoDh7xmn9Vr1NrBnNnDob+DwQqD1zcbyA85TSzVARmODPJ0Qn5GPlYcSMaTlhYs4kZWGWZkLtrzbbrvtgvvInLBERHQhGXGVFcikjWs2DiWGEjUV2KbYTdh4dqMqTZDFHeYfn6+axkGDVv6tVLDtFdJLzXsr5+yOBNYxnwM9/mdcRUwC7e6fgX1zgS73A72eAFyM840TVQetxgGj2obgyzVRmL8rhmHWlsLsN998U7M9ISKyIxJMZcUxaXe1vEvV3Eq97YazG7AuZp0qUZCLy6RN3zUdfs5+6BPWB31D+6qyBKm/tStSWnDzT8CZ7cDyV4ATa4ANnwA7fzRePNbxLkDnaO5eko0Y1bauCrMrDiUgK78I7k6clcSS8d0hIrKQmlspLZD2eMfHEZsVi/Vn16tgK6O3MhXYH0f/UM1J66SmDusb1lc1mRLMboR2AMYvAI4uBZa+CCQeAhY9bVxVbOAUY12tvdcd01VrXscTkf5uiErKxrID8Wp1MLJcdvidFRGR5avjXgfXN74eH/X7CGtvWosvBn6BcU3Hoa5bXeQX52P1mdWYsnEKrvn1Gtzx7x344cAPKgDbBQmrjQcBD6w3zoDgFgCkHAfm3AZ8OxyI22fuHpINlAWNaF1H7f+956y5u0P/gWGWiMjCydy03et2x7NdnsWi6xbh92t/x8PtHkYLvxYwwKBmTHh367sY9Psg3Pz3zZi5d6ZajtfmaXXG8oJHdgK9nwSk9OLUeuCLXsA/TwA5KebuIVmx4a3rqu2aI0lIzy00d3foEhhmiYisbMRIVha7r/V9mD1iNpZctwRPd3paTQnmAAc11+20HdNw7YJrMSNzBn48+CPisuNg05w8gGteACZtAZqPBgwlwNavgE86ANu+BkqKzd1DskJNgj3QKNAdBcUlalUwslwMs0REVl6OcFvz2/DtkG+x4sYVeKnbS6qeVi4wO1N8Bh/s/AAD5w5UpQizD81GWl4abJZ3OHDjd8aa2oBmQG4K8Pdk4Mu+wOmt5u4dWaERpaOzLDWwbAyzREQ2Qi4Eu6HxDfhq0FdYPHoxRrqMRLuAduo2KUV4Y/Mb6PdbPzyy4hG15G5BcQFsUmQf4IG1wJB3AJmrN24PMGugMdjm2nCYp2o3oo2xbnbd0SSkZtvo/15sAMMsEZEN8nPxQxenLpg1cBaWXr8UT3R8Ak19m6KopAgrT6/EY6seQ99f+6qLyGT6L1nUwaZo9UDXB4CHtwNtxgEwGEsOPu0E7J0L2NrPSzWiQYA7mtXxRFGJAYv323i5jhVjmCUisnHBbsG4o8Ud+G3kb/jj2j8woeUEtdpYZkEm5h6Zi9sW3oYx88fgu/3fITk3GTbFPcC46MIdfwN+jYDsBOD3u4EfxwIpUebuHVkB06wG/+y1k9lCrBDDLBGRHWnk0wiPdXhMXTg2c9BMXNvgWjhrnXE8/Tje2/YeBvw2AJNXTsaaM2tQbEsXTtXvBUxcD/R7HtA6AcdXAJ91A9ZPA4qLzN07soIwu+F4MpKz8s3dHaoEwywRkR3SarToUqcL3uj5hrpw7MWuL6KlX0sUGYqwLHoZHlr+EIb9MUxN85WUmwSboHMC+jwFPLgRiOwLFOUBS18y1tPGHzB378hC1fNzQ6sQLxSXGPDvPpYaWCKGWSIiO+fh6IEbm9yIX0b8ouawva3ZbfB09MTZ7LNqmi+ZDeHJ1U9ia9xW26it9WsA3D4PGDXdeIHY2R3AF72BVe8ARbzIhy7EBRQsG8MsERGVkTlsn+78NJbfsByv93gdrf1bq4vGFp1chLsW34WxC8bityO/IbcoF1a/ili724CHNgNNhgElhcCqN43TeJ3dae7ekYUZXhpmN59IQUJGnrm7Q+dhmCUiogs465wxquEo/DT8J/w64le1tK6LzgXH0o7h1Y2vqtHaD7d/aP0LMnjWAW7+GbhuFuDqByTsB77qD6x8Eyjmqk9kFOrjinbh3moSDJYaWB6GWSIiuqRmfs3wcreX1Wjtkx2fRIh7CNLz0/H1vq8x5PcheHzV49iTuAdWPUrb6nrgIdMKYsXA6neAr65hLS2VGd6KpQaWimGWiIguu7Z2fIvx+GfMP5jWbxo6B3dGsaEYS04twa0Lb8Wdi+7E6tOrUSLLyVojN3/jCmLXfw24+BgXW/iyD7DuQy6JS2WlBltPpiI23crLbGwMwywREVV5JoRrwq/BrMGzMHfkXIxqMAo6jQ7b47dj0opJGDt/LOYdm4dCa/2avuV1wIObgcZDAFklbdkrwNdDgOTj5u4ZmVEdLxd0ivBR+//s4ZyzloRhloiIrlgT3yZ4vefrWDR2ESa0mAA3vZuas/bF9S+qEoQfDvxgnReLeQQBt8w2znjg6AGc2QLM6AVs/46rh9kxU6kBVwOzLAyzRER01YLcgvBYx8fU0rmyKEOgSyASchPw7tZ3VaiV+trswmxY5YwHMi9tRC9A+v/XI8DscUC2jcy9S1UyuGWw2m47lYqETM5qYCkYZomIqFrramW53H+v+1ddNCYXi6XkpaiZDwb/Phgzds9ARkEGrIp3GDB+ATDodUDrCBxeaFw97MgSc/eMzFBq0DbMOKvBkv3x5u4OlWKYJSKiaueodVTTef015i81X22EZ4SaAWH6rulqpPbLPV9a10itRgN0fxi4dwUQ0AzITgB+vgH4+zGg0ArLKOiKDSkdnV3EKbosBsMsERHVGL1Gr+arnTdqHt7p9Q4aeDVAZkEmPtn5CYb+PhTf7f8OebKsrLUIbgXctwro+qDxeNss4xReCYfM3TOqJUNaGMPsxqhkpOVwxThLwDBLRES1MgPCsMhharlcCbX1POshNT8V7217D8P+GIZfDv2CApk5wBronYEhbwG3/wm4BQIJB4Cv+gE7f+TFYXYgwt8NTYM9UFxiwNIDLDWwBAyzRERU66FWRmpf7f4q6rrVRWJuIt7c/CaunXct/j3xr/XMU9vgGuCBdUBkX6AwB5j/EPDHfUB+prl7RrVUasBZDSwDwywREdU6mZd2TKMx+HvM33ihywsIcAlATFYMnlrzFMb9Mw5bYrfAaqbwuu1P4JoXAQctsPdX4Is+QKwVr4hG/2loS+MUXWuOJiErv8jc3bF7DLNERGQ2eq0eNzW9SYXaSW0nwVXniv3J+3H3krvx4LIHcTT1KKzi4rDeTwATFgKeoUDKcWDmAGDHD+buGdWQxkHuqO/vhoKiEqw8lGDu7tg9hlkiIjI7V70r7m9zPxaOXYibm9wMnYMOa2PW4vq/rserG19V03tZvPCuwANrS1cOywcWTAIWPAwUWtEFbnRZHBwczs1qwFIDs2OYJSIii+Hn4ofnuz6PeaPnYWC9gap+9rcjv2HEHyPw/f7vLX+JXFdf4OZfgGtekMgD7Pge+HowkHrK3D2jGprVQEZm8wqLzd0du8YwS0REFkdmO/ig7wf4dsi3aObbDJmFmZi6bSrGLhiLtWfWwvLLDp4Ebv8DcPEFYncBX/YBji4zd8+oGrUO9UJdL2fkFBRj7VGuCGdODLNERGSxOgR1wC/Df8Er3V6Br7MvTmacxIPLH1T1tKczTsPiZzu4fw1Qtz2Qmwr8dD2weiqn77KhUgPT8rb/7os1d3fsGsMsERFZ/HRe1zW+Tl0kdmeLO9VMCFJPO3r+aHy++3PkS32qJS+Fe9cioMMEAAZg5evA3AlAgRWtfkb/OavBsgPxKCy2kinlbBDDLBERWQUPRw883vFx/Hntn+hapysKSgrw2a7PMHb+WGyI2QCLpXMCRn4EjJwGaPTA/j+Br4cAaRY+skz/qUM9H/i7OyIjrwgbjyebuzt2i2GWiIisSoRXBL4c+CWm9p6q5qeNzozG/cvux+OrHkd8tgWvyNThTuCOBYCrPxC3x7hq2KmN5u4VXQWtxgEDm3NWA3NjmCUiIuucGqn+ECwYvQC3NbsNGgcNlpxaokoPfj38q+WuIlavO3DfSiC4FZCdCHw3Etj+nbl7RVdhaGnd7JL9cWqJW6p9DLNERGS13B3d8XTnp/HriF/R2r81sgqz8Nqm13DX4rtwMv0kLJJ3OHDXYqD5aKCkEPjrEWDx80CJhQZwuqSukX7wdNYhKasAO6JTzd0du8QwS0REVq+JbxN8P/R7PNP5GbjoXLA9fjuuW3AdZu6diUIJjJbG0Q244Vug3/PG442fAr/eDhTkmLtnVEWOOg2uaRpYdiEY1T6GWSIisplZD25tdiv+HPUnetTtoS4Qm7ZjGm75+xYcTD4Ii+PgAPR5CrhuFqB1BA79DXw3Asji8qjWZkDzILVdepBh1hwYZomIyKaEuIfg8wGf482eb8LLyQuHUw9j3D/jMGP3DMscpW11PTB+gXGBhZjtwFf9gYRD5u4VVUGfxgHQax0QlZiN44lZ5u6O3WGYJSIim7xAbGSDkZg/aj4GhA9AkaEI03dNx+0Lb8fxtOOwOPW6AfcsA3wbAOnRwKxBQNQqc/eKLpOHs17VzgqWGtQ+hlkiIrJZfi5+alnct3u9reap3Z+8Hzf+dSO+3fctikuKYVH8GhgDbXg3ID8d+PE6YM9v5u4VXaaBpaUGy1hqUOsYZomIyOZHaYdHDse8UfPQM6SnqqV9f/v7mLB4As5knoFFcfUFxs8HWl4HlBQBf9wDbJxu7l7RZejfzBhmt59KRXKWBa9KZ4MYZomIyC4Eugbis/6fYUr3KXDVuWJnwk7c8NcN+CfqH1jcimFjZwJdJhqPFz8HLH0JMHAOU0sW4u2C5nU8IVPNrjycaO7u2BWGWSIisqtR2rGNxuL3a39H24C2al7aZ9Y+g+fWPoesAgu6cEejAYa8BQx4xXi8fhow70Gg2AIvYKMLSw1YN1urGGaJiMjuhHqE4psh32Bim4lq9bC/ov5So7R7EvfAoqbu6jkZGPUZ4KAFdv8MzB4HFGSbu2f0H2F2zdFE5BVaWE22DWOYJSIiu6TT6PBg2wfxzeBvUNetLs5kncH4f8fjyz1fWtbFYe1uBW75BdC5AEeXGC8My880d6+oEi3qeiLY0xk5BcXYeDzZ3N2xGwyzRERk19oHtcdv1/6GoRFDUWwoxic7P8H9y+5HYo4F1T02HgzcsQBw9gKiNxoDbV6GuXtFlZSxDGhuXA2MCyjUHoZZIiKye56Onnin9zt4rcdrajnczbGbcf1f12N9zHpYjLDOxpkOnL2B05uBH8cCeenm7hWdZ2DzYLVdfjAeJXI1GNU4hlkiIqLSUbXRDUdj9ojZaOzTGCl5KXhg2QP4cPuHlrNyWN125wLtma3ADwy0lqZrpC/cHLWIz8jHvrN8b2oDwywREVE5kV6R+GnYT7ipyU3q+Ot9X+PORXfibNZZWIS6bY0lBy4+QMw24IcxQG6auXtFpZx0WvRpEqD2l3JWg1rBMEtERHQeZ50zXuj6glo9zEPvoWY5kNkOVp22kCVm67QBxpsC7Xbgh9EMtBZkQOkCCgyztYNhloiI6CIG1huoLg5r5d8KGQUZeHjFw3hv63uWUXZQpzVwx1+Aiy9wdifw0/Wc5cBC9GsSCK3GAYfiMnE6Jcfc3bF5DLNERESXEOIegu+GfIfbm9+ujr878J0qO4jNijV314DgVsZAa6qh/eUWoDDX3L2yez5ujuhYz6fsQjCqWQyzRERE/0Gv1eOpTk/ho34fwcPRWHYgsx2sPr3a3F0DglsCt/8BOHoAJ9cCc24DivLN3Su7Z1pAgVN01TyGWSIiosvUP7w/fh3xK1r6tVRlB5NWTMLHOz42/yILIR2AW38D9K7AsWXA3LuA4iLz9snO9S+tm91yIgWZeRZQlmLDGGaJiIiquBTu90O/x63NblXHX+39Cg+teAjp+WaehqleN+DmnwGtE3Dob2DeA4C5Q7Ydq+/vplphsQHrj3E1sJrEMEtERHQFZQfPdH4Gb/d6G85aZ7W4wk1/34TDKYfN27EG/YAbvwc0OmDvb8DfjwIGTtxvLn1Lp+hadTjB3F2xaQyzREREV2h45HD8OOxHdZFYTFYMblt4G/6J+se8nWoyBLhuJuCgAXZ8Dyx7xbz9sfNZDcTKwwkw8I+KGsMwS0REdBWa+DbBnBFz0COkB/KK8/DM2mfwzpZ3UFRixprVFmOAaz8x7q//CNjwqfn6Ysc61/eFi964GtjBWE6bVlMYZomIiK6Sl5MXpl8zHfe2ulcd/3jwR0xaPkldJGY27W4DBpSOyi55Htg923x9sVPOei16NPQrG52lmsEwS0REVA20Gi0eaf+IWjXMReeC9WfX49Z/bkV0RrT5OtXjUaDrQ8b9+Q8BR5aYry92qm9pqQHrZmsOwywREVE1rxomiywEuQbhZMZJ3PLPLdgcu9k8nXFwAAa9DrS+CZCyh1/HA6e3mKcvdn4R2PZTqUjP4RRdNUFXI89KZfauOoOTe5LUPygajdTjO8DBwUHV5Ru3clx6vty+ppLb1ONLz2u05Z5H3eZwkS3gUHpfeUyF2+VYnqP0vHpOzXn76jaNcVvufqbb5XmJiKiiZn7N8MvwX/DoykexJ2kPHlj6AJ7t8ixubHJj7XdG/kMwajqQkwIcWwr8dANw1yIgsFnt98UOhfq4onGQO47EZ2HN0USMbFPX3F2yOQyzNSzlbDaiD6TAVlUIt2qrgdYUfLXlQnD58zrjea3crrvE1nQ/nebcvl6ep/RYV3qsO9d0euN5nV4LbbnbGbqJqLYFuAZg1uBZeHnDy1h4YiFe2/QaTqSfwBMdn1AlCbVKqwdu/A74fpRx2dsfrwfuWQZ41qndftjxrAYSZqVulmG2+jHM1rAm3YIRFOkJQ4lM9WeAocSgpvwzbg1l50tK5CTUVt1Wer8KxyVAiek5Spt6mGnftC0+9xoVzpU/Lnf+ovum49JtZeS8us3CvzkxhePiEjf8vGkLdI5aFXQl/KoQ7Cj7586p847a0vPG29S+oxZ60/nztnon2WrV/RmeiUg465zVXLQNvRvi450fqwvDYrNjjfPT6pxrtzOObsC4X4FZg4Dko8AvNwF3LgSc3Gu3H3ZaN/vFmiisPpyo/pspA0FUfRhma1hwfS/VrJ0piJsCblnYVa2kQvgtf1xc/jbZL6p4rrjIeK6kpATFhcbzxXJbUYnayu3G8yUolvvJcVk7d3tl58pTr1EkK+FokFVQw2uWO6A09BoDrinkmvZVc9ZVOHZ0lnNaODrpjNvS2x1ddOo2CdkMyETWSf63e2/re9XKYc+vex7Lo5fj7iV345NrPoGvs2/tdsbV17js7cwBQOxu47K3atUwxoGa1DHCB+5OOiRnF2BvTDrahHmbu0s2xSI+vdOnT8fUqVMRFxeHNm3a4JNPPkHnzp0rve9XX32F77//Hvv27VPHHTp0wJtvvnnR+1P1UPW5qkwAVkGNdksYLg26RYUlyM8twKqVq9Gtaw84GDQoKixWt8ttFbfFKCooQVFBsTqnWsG5c3KfwnLHspXjsgBtAIryi1XLzayeIWv5K17vYgy5qrlo4SRBt1yTYyfX0n1XOdafO3bTqfIMIjKfofWHIsAlAP9b+T/sSdyjFlj4fMDnqOdZr3Y74lsfuGU28N0I4Ohi4N+ngOHvGy8Woxqh12rQq5E//t0Xp0oNGGZtLMzOmTMHjz32GGbMmIEuXbrgo48+wuDBg3H48GEEBhqnsyhv1apVuOWWW9C9e3c4OzvjnXfewaBBg7B//36EhISY5WcgywzfqmZWdy7AORdqofcoQWA9D+j1+mp/TRmVLgu3EmYLitX2ki2vSG0L8uS4CIV5pft5RSgovY+p/CQ/u0i1K6Vz0sJZQq6rMeQ6u+nh7CZBV7blmrvc5ghnd+PtUu9MRNWjY3BH/DDsBzy47EGczjytAq2M0LYNbFu7HQnrBIz9yji7wbZZxoDb/eHa7YMd1s0aw2wiHh3Q2NzdsSkOBjOvryYBtlOnTvj0U+PqJPJ1c1hYGB5++GE888wz//n44uJi+Pj4qMePHz/+P++fkZEBLy8vpKenw9PTs1p+BrIOhYWFWLhwIYYNG1YjYbYmSGmHjPoW5ErILUJBbmmT0JtbhHzTcbn9/JzSfdnmFKr7Xg1T8HXxkKDrqLYupq2HI1w9HOHiadx3cdcz/FoIa/y825Ok3CS1qML+5P1w0jphau+p6Bfer/Y7snE6sPg54/4N3wEtRsPaWMtnPT4jD13eXK4GwLc+PwD+7k7m7pJFq0peM+vIbEFBAbZv345nn3227JxMAzVgwABs3Ljxsp4jJydHfZB9fSuvO8rPz1et/C9HyGOkkf0wvd/W9r47aOX6DA2c3B3lCo4qP15GdVXgzSlCXo5pW2jcymiv2hYat1mFavRXHecWqVFhFY5zipCemHsZnYUazVUh11NCrmz1KvC6epU2OeflqMolqOZY6+fdXnjpvPBl/y/xzLpnsPbsWkxeNRkvdnkR10ZeW7sd6XAvNMlR0G6bCcOf96PYLQiGkI6wJtbyWfd10aJ5HQ8ciM3EyoNxGN2WsxpcSlXeT7P+1yQpKUmNrAYFBVU4L8eHDh26rOd4+umnUbduXRWAK/PWW29hypQpF5xfsmQJXF1dr7DnZM2WLl1q7i5YFufS5meMytI8VN0xUFLogJKCc624kv3i/HPnYHBAXpaE4iKkxuZc8mUdtAZonQ3QOpUYt86m7bl9jaOBZXxXiZ93yzbAMABZ+izsLNyJVza9gk27NqGnc8/a7YShJzp7bkedjJ0o+vEmrG7yCvIcjUuwWhNr+KyHajQ4AA1+WbUHjmd3mbs7Fk0GKy+XVQ+NvP3225g9e7aqo5X62crIqK/U5JYfmZUyBqmzZZmB/f2VJ//YDRw40KK/irJWxrreQuRkFCI3swA5GQXIzZBj034BstON+1IbbCh2QFG2NM0lp1Rz93aCm48T3Eubh68z3H1Ltz5OaqYHuhA/79ZjuGE4pu2chh8O/YBFeYtQJ7IOJrWZVLszmBT0heG74XBO2I9BSV+jaPzfxqm8rIA1fdaDo9Ow5KstOJ7jiEGD+0LHsqyLMn2TbvFh1t/fH1qtFvHx8RXOy3FwcPAlH/vee++pMLts2TK0bt36ovdzcnJS7Xzygbf0Dz3VDL73NcfJyRGelzHTkNT/5qQXIDstH1lp+RW3qfnITs1DdkaBmlItIylPtYuRkgVPP2d4+ruUtnP7EoRlpTp7xs+7dXiqy1Pwd/PHh9s/xDcHvkFGYQZe7Ppi7S2uoPcBxs0GvuwHh/i90P/zCHD9t8bVw6yENXzWO9b3h7erHmk5hdgfl42OEbU8NZsVqcp7adYw6+joqKbWWr58OUaPHl12AZgcT5o06aKPe/fdd/HGG29g8eLF6NjRump7iAhlU4x5B1281EfmI85ONYbbzJQ8ZKXmITMlH5nJechMzlXnZOYICcXS4qIu/CteZrPwDHCBV7nmHegKryAXePg4233QJctyV8u74O3kjSkbp+D3o78jPT8d7/R+B47aqtfKXxHvcOCmH4HvRgIH5gNr3gX6/veF2HT5tBoH9G4UgAW7z6opuhhmq4fZywykBOCOO+5QoVTmipWpubKzszFhwgR1u8xQIFNuSe2rkKm4XnrpJfz888+IiIhQc9MKd3d31YjINsi8uKYR1srIRCxyoZqEW+PobW5ZS0/KQ1ZynppjODU2W7ULnl+vgXegKdy6widYmpva8uI0MpexjcbCy9ELT655Esuil+HRlY/iw34fqhkPakW9bsCID4AFDwOr3gICmlrlDAeWrG8TY5hdezQJTw42d29sg9n/xb7pppuQmJioAqoE07Zt22LRokVlF4VFR0erGQ5MPv/8czULwvXXX1/heV5++WW88sortd5/IjIPqSdUU4S5OyKw3oX177JqnIzkZiTmIj0xB2myTZCWo2ZmkEUukmOyVTufm7eTMdzWcYNvHTf41XWDb103NUcvUU3rX68/pvefjkdWPIK1MWvx0PKH8HG/j+Gqr6WLltuPBxIOAZumA38+YJyDtk6b2nltO9Czob/aykpgKdkF8HWrpZF3G2b2MCukpOBiZQVycVd5J0+erKVeEZE1k/luTaUFYfCtJOjmIS0+F2nxOUiNz0FaXDZS4nKMF6qV1u+eOZRa4XFywZmEWt+67vAPcYNfqIcKveUX5yCqDt3qdlOrg0mQ3Ry7GROXTVQB192xlr6BHPgqkHgIOL4c+OUW4L5VgPuFCxlR1QV6OqNpsAcOxWVi/bEkjGzDKbpsIswSEdV+0HVVrV7LilMQSelCalwOUuOM5Qkp0s5mq9pdU4ven1LuuRxUeYJ/qDv8w6R5ICDMnaO4VC2rhX056EtMXDoROxJ24P6l9+PzgZ/D07EWZuLR6oDrvwZmDgCSjwK/TQDGzzeep6smS9tKmF17NJFhthrwU0lEVI6sdlangZdq5clqaimxOUg5m6VKE5LOZKqtLEiRHCPnsnB487n7y6wKAeEeKtzKEspSCiHPTVQVbQLa4KvBX6kguydpD+5ZfA++HPglvJ29a/7FXbyBm38GvroGOLUOWPYyMPiNmn9dO9CrUQC+WntC1c1K/X+tTsNmgxhmiYgug4y0nh9y5T9CUq6gam/PZCLxdBYSozPLXZSWh+M7EsvuLzMrBEmwjfA0tnAP6Bxraeolslot/Fpg1qBZuG/pfTiYchB3LblLHfs4+9T8iwc0BkZ/Bvx6O7DxUyCkPdDyupp/XRvXub4vHHUaxKbn4XhiFhoGylI1dKUYZomIrpCMpnj6uahWv7Xxog5TqULS6UwkRku4zUD8qUx1IZqpHd2WoO6n0TjAL9QdwZFeCI70RFB9LzWiy1EaOl8T3yb4ZvA3uHvJ3TiaehT3LLkHMwfNrJ1A2/xaoOdkYN2HwPxJQEAzIKh5zb+uDXPWa9Glvq8amV1zJIlh9ioxzBIRVTMpJwht6qta+YCbcCoDCScz1Tb+RIZaDU1GcqXtLb3W1cXTEXVlBLihN+o09FK1uFLjSxTpHYlZg2fh7sV340jqEdy75F4VaGul5OCaF4GzO4GoVcCc24B7VxjLEOiq6mYlzErd7F0965u7O1aNYZaIqJYCbnhzP9XKlyjER2Ug7kS6WvRBRnNlNoXjOxNVE3onrRq1rdvIByGNvVV5AmdPsF+RXsZAe9eiu3A49XDZCG2NB1pZiey6r4Ev+wApx41Tdkk9rRWtEGaJdbPAIWyKSkF+UTGcdCw5ulIMs0REZi5RaNTJOK92UWExEk5lIvZYGmKPpSP2eLq6wOz0wVTVhE6vQXADL4Q0kXDrg8AID7XABNlXoP168Ne4a3EtB1o3P+CmH4BZg4Ej/wJr3wf6PFmzr2nDZHouf3cnJGXlY/upVHRvcK5UiaqGYZaIyELo9FrUbeitmigpMahpwSTcxhxJw9mjqcjNLFTz35rmwNU7a1WoDWvmo8oaZN5b1tzaV8mBBNp7lxpLDrycKs7CUe3qtjOuEDb/IWDlG0BYZyCyT82+po2S/532buSPP3bGqHIDhtkrxzBLRGSh5AIxNX9tqDta9Q1VpQky7+3ZI2mIOZyqAq7U4p7ck6SaafUyCbYhTbxRUmjun4BqUgPvBsaSg8V34VDKITyw9AF8Neirml9Yod1tQPQmYOcPwO/3AA+sAzyM3y5Q1fQsDbPrjibh6SHm7o31YpglIrKikRy/uu6qqXBbYkDSmSycPpiimpQmyMplhzbGqQa4Y/7x3Yho5YfwFn4ICPOAg4ajtjYXaAfNwoTFE7AveR8mrZikVg5z0bnU7AsPfReI2Q4kHAD+uAe4fZ6xrpauaGnbfWfTkZyVDz93J3N3ySoxzNawglOnUJSYqP5Hrv4jotWqgnkHKZqXc1LrVu42dd50nwrb0vuWuw+/SiSyb/LvhizMIK394HooKihWdbbR+5Nxal+yWslMZk2QtnnBCbh6OqpgG9EmAKFNfaDnHLc2oaFPQ8wYOEMtqLA9fjsmr5qMT/p9Ar22BhfpcHQFbvgO+LIvcGINsGYq0PeZmns9e1ja9ngyruVqYFeEYbaGpXz3HVJ//qVmntwUak0BV6c7byu3lTsnodh0TvZNj5UrKOWc3Ef21X1L76Mv3TfdVravg4NeZ7yvTl92LFt1Ti/n9Mat3nRcuj2voWzfEQ6OpfsM6kRVJgswhDXzVa3zqAgs+P1fNApuizMH01SNrUwFdmB9rGpyIVloM1/Ub+OPiFb+KuiSdS+sML3/dLVS2PqY9Xh67dN4t/e70Gl0NbugwogPgT/vA1a9DYR3Y/3sFejdOMC4tO2RRIbZK8QwW8O0vn5wjIiAwVACFJfAUFIMlBiA4mIYSkrObUtKKh4Xy/1KLv3kpscVFsIAG1MacDUSdh1lK0G3XJPbnZyM4dfRERpH2Xc0nnNyhEbdJvtO0DgZz5fodHA/cABZzi7Qu7kZzzs7G++jts7QODvBwcWFgZpsgs7FgGY96qB133AUF5Yg5mgqTu5Jxok9ichKyS+rtZWPusxrG9kuAJFtA+Dh62zurtMVaB/UHtOumYZJyydh6amleHnDy3itx2vQONTgbBdtbgJOrmX97FXON/vlmigubXsVHAzym7MjGRkZ8PLyQnp6Ojw9PWHJ1FtzXsAtvzUUFZ27vbThIltDkewXwSCBurjIeN50rkhacYXzhqJC436hPMZ4H6jzpvsXVnJcZLy/2haW2xYChaX7pma6rbSp8G5JHBxUqFUh11nCbum+nFOtdF/OS/h1la2r8TZX0zlXaN3c1Fajmhs0bsb7qFFvohpUWFiIhQsXYtiwYdDLH4Xn/duSHJOlgmzUriS1aEN5Mpdtg3YBaNghEJ7+NVx7SdVuefRyPL7qcRQbinFzk5vxXJfnajYgFeQAM/sb62fr9671+tlLfdatQV5hMdpMWYL8ohIsndwbjYK4GlhV8xpHZi2Y+sfHVA4A26YCd/mwW1BwbnvefonpXIHpXP652/JlvxCGvDyUyPn8Ahjy81GSn4eS3DwkxcbCx90dkPub7pObZ3xcXt650XCDAYacHBTn5NTIz6uCsFtpuHVzg1aCrru78Zxs3d2gVcey7w6Nhzu0Hh7QuHtA6yHHHup2GY0mupJ/W/xDPVTrOKw+MpJzEbUzEVG7ElXNbcJJWaksAxv/PI6g+p5o1DFIBVuZKYEsX//w/ni95+t4bu1zmH14NnydfTGx7cRarJ99D+j7dM29ng0ubdvZtLTt0SSG2SvAMEsWQdXuSnB3dq7Rv953LVyI1hf5612NhBcWlgXbEmm5ucYwLNvcXBWIS/LK7efmGPdz5NjUcmDIzjl3nJNjbNnZZSPQ8phiacbZlK6YlEmokOvpWbr1gNbTC1pPT2i8PI37Xl7QepduyzUGYTKRhRvaDghXLTs9Hyd2JeLYjgQ19ZfpArJ1c48ipJG3WuChQftAtaIZWa4RkSOQVZCFNza/gc92fwZ/V3/c0PiGGq6f/QD4835g9TtAg37GOWjpsvRuFFC2tO3dXNq2yhhmicqPhDs6Qishz6P6/zKWsKxGj7Ozy8JtWcvKKtsvlv0s07ksFGdmoSQzE8VZmcbzGRnq8eo58/JQJCPKMmNGFUnpg9bb29h8fM5tfbyh8/WF1keaD3S+PtD6+RkDMMsjbJ6blxNa9glVTYLt8R0JOLo1AXFR6SrcSlsz5wjqt/ZHky7BasovLq9rmW5uejMScxPx5Z4v8fqm19UIrYza1pg2NwPHlgF7fztXP+ts2eV8lqJXY39gIbApKplL214BhlmiWgzLxgvSnABf36t6Lqk5lrCrgm9GBoozMlGckW4MvelynG48r/Zlm47i9DSUpKWrYymjMI0YF549e3kvqtGUhltfFW7V1t8POv8A6Pz9oVP7/tDKvp8fg6+NBNvW/cJUk1KEY9sScHhznFqV7PiORNVkhFZGa5t2C1ZThPHiFcsyqe0kJOUm4Y+jf+DpNU/jy4FfqgvFaszw94HTm4G0U8DCJ4CxX9bca9mQJkEeCPBwQmJmPrafTEX30vln6fIwzBJZIZnmzDSqWlVy8aAx6KajODUVRWlpKJaWKi3VeC41BcUpqShOSUFRaipK0tNVPXFxcrJqOHr0v4Ovny/0AYHQBQRAFxgAnewHBUEXFAi92gapcMzwYz2lCDKXbbtB4WqhBgm1R7bEIzejAHtXnVHNL9QdzXvURePOQSxDsBDyv68Xu76IlNwUrDqzSi2q8N2Q79DIp1HNvKCzFzD2K+CbocCeOUDDgUDrGixvsKH3qUcDP8zbdRYbjiczzFYRwyyRnZF5h8uCcL16l/UYuQBPAm9RSooKs0XJKShKTjLuJyahKCkJRbKflIji5BRj8E1MUu2SfdHrVajVBwdDV6dO6TYY+uA60IfUhb5uXVULTJb1H11ZSUxa9zENcPpQKg5tjFUXjyWfycLaOUew4fdjapqv5j3qIKSxD1cdMzOZa/bdPu/i3iX3Ynfibjyw7AH8OPRH1HGvUzMvGN4V6P0UsPpt4J/HgLBOgE9EzbyWDenewL80zMq/m03M3R2rwjBLRP9JhU4ZYQ0IuKyZKVSwTUw0toQE4zY+AUXx8SiU4/h4NeorIbnwzBnVLkZmbpBQq1pICPShIXAMDYW+tMmsDmQeGq0G9Vr4qZaXVYjDW+JwcH2smvbr6NZ41byDXNGiV1007VaHo7VmJMvbyqIK4/8dj6j0KExcNhHfD/seno41VNPa+0kgaqWx5OCP+4A7F6pFd+jiujXwU9s9Z9KRlV8Edyf+vi4Xf1NEVK2kVlYfGKjapcgUa0UJiSiKi0VhXLxxGxuHwrg4FMaeRdHZWDUaLHXA+YcPq1YZuTBNHx4Ox7Aw6MPD4BheD47hYdCHhavyBpYx1A5ndz3aXCP1taFq3lpZZezIljikxedg/dxj2Dw/Cg07BaFl7xAERfCiIHPwcvLCjAEzcNvC23A8/biai/azAZ9Br6mBPzIkuEq97IxexkC79n1O1/UfwnxdEebrgtMpudh6MgX9mlz631A6h2GWiMxC4+gIRzXKGnLR+8jsDoWxseoiNdViYlCgRnJj1GiuqvGV2t+9e5G3d+8Fj5cFKxwj6sEpIgL6esatY/36qrF8oWbIHw+B9TxV6z62gaqr3bc6Ro3WHtoQq1pgPQ+0viZMzV3LmRBql5QWfNL/E9y56E5sit2ENza9gZe7vVwzf/RJaYFcEPbHvaXTdV1jLDmgi+oe6Y85Kaex8Xgyw2wVMMwSkcWSRSScGjZUrTLFWdkojDmDwtOnUXAqGgWno1EYfRoF0dEq/MrCF/kHDqp2PimZcGzQAE6REm4j4dQgEk6NGqnZGDiaWz0cnXVqJFbKDOKiMrBvzRkc256AhFOZWPbNAWz44xha9QlFi9514eLOeY9rS3O/5ni397t4ZMUj+P3o7wj3DMddLe+qmRdrfSNwdIlxuq55DwD3rzUuskCV6t7QD3O2nS6tm6XLxTBLRFZLKyulNWkC5yYXXiwhc/oWnIlBwcmT59qpUyiIijpXz5uYiJxNmyo+p5cXHBsZA7RTw0ZwbtIYTo0bq/N0ZeSPgzoNvFTreX0j7F8bg72rYpCTXoDNC6Kw7d+TaNI5CG36h8O3rpu5u2sX+ob1xdOdn8bbW97Gh9s/RKh7KAZFDKqZFxs2FTi5Dkg+Bix/FRj6ds28jg3oFmmsm91/NgNpOQXwduUfeZeDYZaIbJKscCajrtLOV5yZiYITJ5AfFYWC41HG7bFjKDh9WpUt5G7brlp5MtuCU+NGcG7cBE4SoJs3g2O9epxPt4pcPBzVErrtBtVTo7S7l58uq7GVFtHaH+0HhaNOw6pPO0dVc2uzW3Eq4xR+OfQLnlv3HILdgtE6oHX1v5CLD3DtJ8BP1wObPweaDgPq967+17EBgZ7OaBjojmMJWdgUlYIhLYPN3SWrwDBLRHZH6mVdWrdWrTxZylhGbvOPHUP+UWlHkX/kiKrVLYqNVS179ZoKNbnOjRurYOvUrBlcWrRQpQoy+wNdmtTKygpiMidt3PF07Fp2GlG7E3FyT5JqwZFeaD84HBGt/Dm1Vw16qtNTiMmKwZoza/Dwiofx8/CfEeJ+8Tr2K9ZoIND+DmDHd8C8h4AHNwBOrFu/2OisMcwmM8xeJoZZIqJSsjqbc7Nmqp0/kiuhNk/NqnAEeYcOqq3U5Obu2qVahRHhZk3h0qIlnFu1gkurlnCMjFTz+9JFShAaequWGpeNXUujcWhznFo+d+Hne+FTxw0dhtRDo46Baiowqv45aKf2noo7Ft2BQymHVB3tD0N/gKu+BupaB79hnK4rLRpY/Dxw7cfV/xo2oHsDP/yw6RTrZquAYZaI6DJGcl07dFCt/Hy6UqqQd/Ag8g4cNG7371dTieXt3qOaicbdHc6tWsKlTZuyJssBU0U+wW7od3szdL42EntWnFazIKTGZquLxbb+cwIdh0agUecgaBlqq5UE10+u+QQ3/30zjqQewQvrX8B7fd6DxqGaf88yEjv6c+Db4cYR2mYjjSO2VEHX0rrZI/FZanlbWeaWLo1hlojoCkitrGmmBa+RI8uWCi6Mjkbuvv3I27dPtdwDB1CSlYWcjZtUM5G5cV3btYNLh/Zwbd+eo7fluHk5oduYhmg/JEItk7trWTTSE3Kx/LuDKtR2GBqhShQ4rVf1kXrZj/p9hLsW34Wlp5biiz1fYGKbidX/QhE9ga4PAps+A+ZPAh7cCLjyD7vyfNwc0byOJw7EZmBjVDKubVPX3F2yeAyzRETVRMKoo8xlGxEBrxHDy0ZwpQY3d9du5O42toLjx1XoTZc2f766n8yW4NKuHVw7doBrp05wbtECDjr7/ifayUWnRmNlIQYZpZVQm5GUh5U/HMK2f06i0whjqGX5QfVoG9gWL3Z9ES9teAmf7foMjb0bo3+9/tX/Qv1fAo4uBZKPAv8+BVw3s/pfwwZKDVSYPZ7EMHsZ7PtfSiKiWhjBlanDpPncdKM6V5yRoUJtzo4dyN2+A7l79qhZFLJWrVJNaFxd4SKlDZ06wa1zabi10wvLZL7a9oProVXfUDWt184l0chMycOK7w9hx+JodB5ZHw3bB/JCsWowptEYHE49jJ8O/oRn1z2LHz1/RGOfxtX7InoXYMwMYNZA4/yzLa8Dmgyt3tewgflmZ647gQ3Hk83dFavAMEtEVMu0np5w79VLNWEoLFQ1tznbdyBn2zbVStLTkb12rWqJpQtIuHbuDLdu3eDWvZta8MHeFnfQO2nRdkA4WvQOwb5VMdi++KRaLnfJzP3YEXYKXa6NRL2Wfnb3e6luT3R8AsfSjmFz7GZ1Qdgvw3+Bj7NP9b5IaEeg20PAhk+Avx8D6nUHnDmXs0mnCF9oNQ44lZyDmLRchHi7mLtLFo1hlojIzGTE1TRVmN+EO1XtrcyekLNlC3K2bkXOlq3GkduVK1UzrWDm2q2rCsRuPXrY1QVlekct2g0KVyuL7Vp+WpUfJJ3Owj/T96BOQy90v64hguszGF3NDAfv9X4P4xaOw+nM03h89eP4YuAX0Guq+ZuBvs8BB/8GUk8Ay14BRnxYvc9vxTyc9Wgd6oWd0WlqadvrO4Sau0sWjYVGREQWWHvr3LQpfMePR+gnn6DRxg2I+H0uAp94HG7du8PByUmtXpax4C+cffIpHO3REyeuvwEJ06YhZ8dOGIqKYA8cXXToPKI+xr/eHe0GhkOr1yD2WDp+f2c7Fs/ch/TEXHN30Wp5O3vj434fw1Xniq1xWzFt+7TqfxFZ1tY0Pde2r42rhNEFq4Fxiq7/xjBLRGQF4VYWZPC75x6Efz0LjbdsRvi338Lv3nvVYg0wGNTMCcmfz8CpceNwpEdPxD39DDx27Vb1ubbO2V2vRmNve7UrmnYLBhyAY9sS8PMrm7Bu7lHkZReau4tWqaFPQ7zZ8021/92B77Dk5JLqfxFZCUwWUxALHgYK+QeISfcG/morI7MGg8Hc3bFoDLNERFa4uINb1y4IfPwxRP75BxquWY06b70Fz2FDofHyUvW2WQsXos4vv+BE7z44Nf4OJH/zLQqio2HL3H2c0f+O5rjp+U4Ia+aDkmIDdi87jR9f3IjdK06jpLjE3F20OjKbwYQWE9T+i+tfRFR6VPW/yMBXAY86QEoUsOrt6n9+K9Whng8ctRrEpufhZHKOubtj0RhmiYisnD4wEN5jRiPkgw/QeMN61Pv5J3jfdRfyAwOB4mJVe5vwzjs4PmgwokaNRuKn05EnK5jZ6GiPf6gHrv1fO4x8uA38QtyQn1OEdb8exZw3tuLMoRRzd8/qPNL+EXQK7oScohxMXjkZOYXVHKxcvIHhHxj35YKwszur9/mtlIvUhod7l43O0sUxzBIR2dhUYLIIg//kR3Hq8cdQb+E/CHruWbh27Qpotcg/fBhJn36KE6NG4fiQIUh47z3k7t1nk8E2vIUfbny+M/re2gTObnqknM3G/I92YdEXe5GRxK+zq3JB2Lu930WgS6AamX15w8vV/3lpOgxoMUYmZgbmPwwUszSkfKkB62YvjWGWiMiG6cPC1IVk9b79Bo3WrUWdN9+Ee79+cHB0ROGpaCTPnIWTN9yA44OHIOHDj5B3+LBNBVuNxgEteoXg1le7qnlqZdau4zsT8fOUzdjyVxSKCovN3UWr4O/ij/f7vg+dgw6LTi5S89BWu6HvAi4+QPxeYEPphWF2TuabFaybvTSGWSIiO6Hz8YH32DEI+/wzNNqwASEffgCPIUPg4OysViRL/uILnBg1GlHDR6hSBFuqsZWR2d43N8ZNL3RGSGNvFBeWYOs/JzH71S04fZClB5e7QtgTnZ5Q++9vex87E6q5HMA9EBj8lnF/9VQg7TTsXZtQbzjrNUjOLsDxxGxzd8diMcwSEdkhrbsbPIcORehHH6Lx+nWo+/57cB/QX43YFkRFqVIEqbE9efMtSP3lFxSlpsIW+IW4Y9Tkdhh0Twu4ejmq6bsWTNuFJbP2IyejwNzds3jjmo7D0PpDUWQowhOrnkBKXjX/IdDmZiC8G1CUCyx5AfbOUadBuzDjghVbTvCProthmCUisnOyupjX8OEI+/RTNFq/DnXefgtuPXvKd/TI3bULcVNexdHefXB60iRkLF0KQ4F1hz5ZIaxRxyDc+kpXtOoXqqbyOro1Hj+9vAn71sTAUMKvcy/1u3ul2yuo71UfCbkJeH7d8ygxVOMsEVIHIuUGDhrgwDwgyri8sz3rXN+4IMqWE7wI7GIYZomIqIzWwwPeo0cjfOZXaLhqJQKffto4l21hIbKWLUfMw4/gaN9+iH/nXeQfOwZrX3Sh902NccMzHREQ7oGC3CKs/vkw/nhvO1Ji+ZXuxbjqXTG191Q4aZ2wLmYdvt//ffW+QJ3WQMe7jfv/Pm33F4OZwuzmEymsm70IhlkiIrrolF+yvK7MZVt/wXz43XM3tAH+KE5JQco33yBqxEicvOlmpP76K4qzrDf8BdbzxPXPdETPGxtB76RFXFQG5ryxBdsXnUQx56atVBPfJniq01Nqf9qOadiTuKd6X6Dfc4CrH5B4CNjyJeyZTM+l0zio+WbPpHIWjsowzBIR0X9ybtwYgU88gUYrVyL0s8/g3r+/muord/duxL30Mo716YPYKVPU/LXWOutBm2vCcMvLXdSUXiVFBmyaF4W5b29D4ulMc3fPIt3Q+AYMjhis6mefWvMUMgqqcbU5V1+g/8vG/ZVvAZnxsFeujjq0CvVS+6ybrRzDLBERXTYHnQ4e1/RD2PRP0UjKEJ58Ao4RESjJzkbaL7PV/LUnx92K9L/+QokV1tZ6+DpjxKTW6H9nMzi56pB0Ogtz39qGzQui1AwIVLF+9uVuLyPUPRQxWTF4ZcMr1fs1eLvbgbrtgYJMYFlpsLXzUoOtJxlmK8MwS0REV0QXEAC/u+9G5L8LEf7N1/AYNMg4WrtjB84++RSO9emLhGnTUBifAGsLaU271lGjtJHtAlBSYsC2hSfx29vbkHQmy9zdsygejh6Y2meqWlhh6amlmHN4TvU9uUYDDHvPuL/7FyB6E+xVl7KLwBhmK8MwS0REVx3+3Lp1Q+jH09BwxQr4PzwJuqAgFKemIvnzGTjWvz9innwKuXv3wpq4eTlh6P2tMPjelnB21yM5Jgu/vbUVOxafUgGXjFr6t8Tk9pPV/tStU3Eo5VD1PXloB+MIrVj4BFBin4tcdKjnqyZ6iErKRkJmnrm7Y3EYZomIqNrogwIR8NBDaLh8GUKmTYNLhw5AUREy/voLJ2+4ESdvGYeMRYtgKLaeUNKwQyBueakLIlr7o6TYgI1/Hse893cgPTHH3F2zGLc3vx19QvugoKQAT695GnlF1Ri4BrwCOHsBcXuBHd/BHnm56NE02FPtbz1hG3M+VyeGWSIiqpHaWs/BgxDx04+ImDsXXqOuBfR65O7ciZhHJ+P40GFInT0bJXnWMcrk6umIYRNbod/tTdWMB7HH0zH79a3YvzaG0yWVjs6/1uM1textVHoUPtz+YfU9uZs/0PdZ4/7KN4G8arzQzCpLDTjf7PkYZomIqEa5tGyBuu+8o0Zr/R+cCK2Xl1o+N+6VKTjWfwCSZsxAcVoarCGwNe9RFze/2Bl1G3mjKL8Yq346jEVf7ENetn3PhSp8nH3weo/X1f7Ph35Wc9BWm073AH4NgexEYF01BmUrnW+WKmKYJSKiWpu3NuCRR9Bw5QoEPfccdHXroDg5GYkfTcPRa/qrhRiKEhNh6Tz9XTB6cjt0H9sQGq0DonYlYs7rW3D2qOUH8prWI6SHWvJWvLj+xepb7larBwa+atzfOB1Ii4a96RRhDLOH4zORnsM/nspjmCUiolqlcXWF7/jb0XDxYtSdOhVOTZvCkJOjFmI4NmAg4t580+JnQHDQOKDdoHBc91QHeAW4ICs1H/M+2IGt/5yw+4vDJneYjEivSCTlJmHKhinVV4bRZBgQ0QsozgeWTYG9CfBwQmSAG+TXue0UR2fLY5glIiKzcNDr4TVyBOr/+QfCvvwCLm3awJCfj9Tvf8DxgQMR9+qrKDx7Fpa+etiNz3dCky7BKmRs+esE5n+4E1mp1lELXBOcdc54u9fbarquFadX4M9jf1bPE8vl/IOkjMEB2DcXOLMN9qZz6egsp+iqiGGWiIjMXovq3rs36s3+BeFfz1IzIBgKCpD68y84NngI4l59DYUJljtS6+isw4AJzTHgzmbq4jApN5jz+lZEH7DfC3Wa+TXDw+0eVvtvb3kb0RnVVBZQty3Q1ljGgMXPQf0FYUdYN1s5hlkiIrKc+Wq7d0e9H39A+HffwbVzZ6CwEKk//4zjgwYj4b33UJRqudMSNelaR43SBoR7qAvC/vpkN7b8fQIGOy07uKP5HegU3Am5Rbl4du2zKCopqp4nvuYFQO8KnN4MHJgHewyz+2LSkZ1fTb9PG8AwS0RElhdqu3RGve+/Q/i338KlbVsY8vKQPHMWjg8chMTp01GclQ1L5B3oirFPtkfzXnUBA7D17xP4+9PdyM2yvqV9r5ZWo8UbPd6Ah94De5L24Ot9X1fPE3vWBXr8z7i/9GWgOue0tXChPq4I8XZBUYkBO6N5waEJwywREVkst65dUO+XnxH6+WfqQrGSrCwkffKpqqlN+eknGAot76punV6Lfrc2Rf87m0Gn1yD6QAp+fXMr4k/Y3/yoddzr4NkuxjliP9/9OY6kHqmeJ+7+MOBRB0g7Bc3Wr2CPo7Ocb/YchlkiIrL4kVqPfv1Q/4/fEfLB+3CMiFBL5ca/9jqiRl6LzOXLLXLhgqZd6+C6pzsaZztIyccf723HvjUxsDcjIkegb2hfVWbwwroXUFhSDX+AOLoB/V9Su5r1H8CxKBP2NkXXlpOsmzVhmCUiIqvgoNHAc9gwRP61AEEvvQitry8KTp7EmYcm4dTttyN3zx5YGv9Qd9zwXCdEtg1QS+Gu/vkwVv18GMVFJbCnP0Ze6vYSPB09cTDlIGbtnVU9T9z6ZiC4FRzyM9Eo/m/Y28islBnkF1nPstA1iWGWiIisbkov33Hj0GDJYvjdfz8cnJyQu207Tt54E2KefAqF8fGwJE4uOgy5vyW6jo5Us0rtXxODBdN2ITfTfupoA1wDysoNvtjzBQ6nHL76J9VogP6vqN36icuADPsY9W4Q4AY/N0fkF5Vg75l0c3fHIjDMEhGRVdK6uyNw8qNosOhfeI0ereYhzfjrLxwfOuz/7d0JcFRVosbxr7uzkQBBCQKBxMBAAZFNlrDMMGwqOIijiFrjPBafG5sDjxl8YqGoTBXqKIKIRaFvZtAnDgQG1CeLsqklRgho3IgIKMuwBiQEglm6+9U5TDIGkMGkO923+/+ranPv7dO3TzrH5rvnnnuuCha8KF9paVj1TnYdnKEhYzsqNuHs9F1LZm7R0X3Rc3p8SIsh6p/W/+xwgw8CNNyg1UD50nvL4y+T572nFA1MW2KKrqoIswAAR4tt2lSpT8xURnb22ZkPiot1dNYs7R46VEUbNyqcZHRM0fAfjqP901bt3Bq+c+gGY7hBcnyy8o/n66VPXwrETuXr//DZxU9fk44GoMfXAXr8M8y+mXcgLMeL1zbCLAAgItRpf5Wd+SD1qScV06iRyvbs1f4xY7X3vvtUujdAk/YHwOVNkzT8wW5Kz7xc5aU+rXnxc3sb3GgIJSl1UvRQ1kN2ecGnC2yorSl/8+46mNxFLr9PWj9D0eCmq5spKc6j/ENFWrc9Og6GLoYwCwCIqN6/5BtvVMtVq9Tw7ruk2Fidfvc9O+tBwfz59s5i4SAhKVZDJnRS52vS7Lq5De76hduj4sKw61tcr4HpA1XuD9zsBtubDpff5Za2vynt36pI1yAxTiN6Zdjlueu/jooDoYshzAIAIo6nbpKu+MMf1PKN1+1dxfwlJTo6e4523zxMxbm5Cgdut0s/H95afe9oI5fbpfycQ3rzuU/s3cMi/YBjWs9pdrjBV999pYVfLKzxPovqNJe/w+1nV9ZOj4rb3N7dp4USYt3K21+o974uUDQjzAIAIlZ8ixZK+5+XlPqnP8nTsKFKd+3Snv8YoQPTpoXNrXHb/7KZhow/e2HYP3acsONoC4+eUaQPN5jSbYpdnp83X3tP1nwYiPeXD0ieOOnb96XdGxTpUurG646sK+3y3HXR3TtLmAUARP7Qg6E36Gcr31KD226z2wqXLtPuXw3RyVWrwiIEXHlVQw37Q1fVvSxe3x0q1rKncnVod2RPu3Tjz25Uz6Y9VeIt0eM5j9f875CcJnW/++zy2kclX+QP2bivb0vFxbiVu+c75eyO3pkNCLMAgKjgSU5W08cf05WLXlV861b2LmL/+K/J+sfvJqq8oCAsbrBgZjpISaurM0VlWvHsx/rm09DXK6izG/R8RPGeeH108CO9vuv1mu+0z++luHrSwTzpi78r0jWun6Dbu6VVjp2NVoRZAEBUSezSRS2WLVPKuHFSTIyK3nlHu4fcoMI33wx5L21Sg3jd/PsuurJ9Q3nLfFo1/zNt33RAkSqtfprGdhprl5/OfVrHzhyr2Q6TUqTe959dXjFO+uQ1Rbox/X6mWI9Lm3Yd09Y90dk7GxZhdt68ecrIyFBCQoJ69OihzZs3X7R8dna22rZta8t36NBBK1eurLW6AgCczxUXp0a/u18tspcoPrOdvIWFOjDlAe0fN15lBw+GtG5xCTG6fmwHte3ZRH6fX+tfzte2NXtCHrSDZeRVI9XmsjYqLCnUU1sCcOODn0+U2vxK8pZIK8ZIq6dK3nJFqmYN6uiWLs3t8nPrdioahTzMLl68WJMnT9b06dO1bds2derUSYMGDdKRIxeeN23Tpk36zW9+o7vuuksff/yxbrrpJvv4/PPPa73uAABnS2jXTi0WL1ajSRPtNF6nNmzQzmuv0/6Jk3Q656OQBUiPx60Bo9rp6uvS7fqHy3fpg2U7bbiNNLHuWD3W+zG5XW6t/Gal3t//fg13mCDd/qrU97/Prue8IP3vMKk4cnstx/VrJY/bpXd3HNWn+08o2oQ8zM6aNUv33HOP7rzzTmVmZmr+/PlKTEzUn//85wuWnzNnjgYPHqwpU6aoXbt2mjFjhrp06aLnn3++1usOAHA+V2ysUsaMUcu/L1Ni9+5SebmK1qzR3tGj7fCD4y+/Iu/Jk7VfL5dLvYe1Uu9bWtn1vLX7tHbhlyo+WarS78vl80bOBU5XpVyl37b7rV3+Y84fdfz74yr1llb/YMLtlvo/JN32ihSbJH3zrrSgn3T4C0Wi9IaJ+nXnVLs8d3309c66/CE8b1FaWmqD69KlS23vaoVRo0bpxIkTev318weDp6en257cSZMmVW4zvborVqxQXl7eeeVLSkrso8LJkyeVlpamgoIC1a9fPyi/F8JTWVmZ3nnnHV177bWKjY0NdXWAoKK9V1/Jjh0qXLJERW/+n701rhUbK3fduiGr08EGnfRl+jD5XZ4q211+r9y+crn9kXEa3W/u4oWwdtWvS9Xj+n9ltmAxeS0lJUWFhYX/Nq/FKIRMoPR6vWrcuHGV7WY9P//Ct7g7dOjQBcub7Rcyc+ZMPfbYY+dtf/vtt22QRvQx/8AD0YL2Xk1dusidmal6H3+sBh/mKP7wYflCOC9t4+82KqbwiPLb3KGS+Msqt5tw6/V45FV8yOqG6LLjqw91zB/8a5WKKw4kL0FIw2xtmDp1qu3JPbdn9rrrrqNnNsrQU4VoQnsPkGHD7Knu8v37Q34rXDN69mrbe+mX12uuafKffXjP/owUPvP7+ctV7jMPr73tbbmvTOU/Mm+s11eu/O35atuurTzui8QacyL6TIHk8ypi+aUTZ8oUzP7tLtf+p5IvT1GwmbzmiDBruo89Ho8OHz5cZbtZb9KkyQVfY7b/lPLx8fH2cS7z5c4XfHTib49oQnsPjLiWLUNdBVzkwO1QSYm6DBxIW48gP+VvGdILwOLi4tS1a1etW7eucpvP57PrvXr1uuBrzPYfljdM78OPlQcAAEDkCvkwAzMEwFzw1a1bN2VlZWn27Nk6ffq0nd3AGDlypJo1a2bHvhoTJ05U37599cwzz2jIkCH629/+ptzcXC1YsCDEvwkAAACiLszefvvtOnr0qB555BF7EVfnzp21evXqyou89u7dK7eZYuOfevfurUWLFmnatGl66KGH1Lp1azuTQfv27UP4WwAAACAqw6wxYcIE+7iQjRs3nrft1ltvtQ8AAABEt5DfNAEAAACoLsIsAAAAHIswCwAAAMcizAIAAMCxCLMAAABwLMIsAAAAHIswCwAAAMcizAIAAMCxCLMAAABwLMIsAAAAHIswCwAAAMcizAIAAMCxCLMAAABwrBhFGb/fb3+ePHky1FVBLSsrK1NxcbH928fGxoa6OkBQ0d4RLWjrkakip1XktouJujBbVFRkf6alpYW6KgAAAPg3uS05OfliReTyX0rkjSA+n08HDhxQvXr15HK5auU9u3fvri1btoT9/muyn+q89lJfE6hy5ijPHMTs27dP9evXVyQKdlsLhzo4sb3/lPK090tHe6+d/YR7e4+Gth6N7d3v99sgm5qaKrf74qNio65n1nwgzZs3r9X39Hg8Qf0fLFD7r8l+qvPaS31NoMuZMpH6hRfsthYOdXBie/8p5Wnvl472Xjv7cUp7j+S2Hq3tPfnf9MhW4AKwWjB+/HhH7L8m+6nOay/1NYEuF8nC4TOgvdesPO390oXDZ0B7r1l52vulC4fPYHyYtveoG2aA6GVORZmjvMLCwpAf3QLBRntHtKCtg55ZRI34+HhNnz7d/gQiHe0d0YK2DnpmAQAA4Fj0zAIAAMCxCLMAAABwLMIsAAAAHIswCwAAAMcizAIAAMCxCLPAOU6cOKFu3bqpc+fOat++vV588cVQVwkIGnML0H79+ikzM1MdO3ZUdnZ2qKsEBNXNN9+syy67TMOHDw91VRAgTM0FnMPr9aqkpESJiYk6ffq0DbS5ublq2LBhqKsGBNzBgwd1+PBhe/B26NAhde3aVTt27FBSUlKoqwYExcaNG1VUVKSFCxdq6dKloa4OAoCeWeAC94Y2QdYwodYc73HMh0jVtGlTG2SNJk2aKCUlRcePHw91tYCgMWci6tWrF+pqIIAIs3Cc9957T0OHDlVqaqpcLpdWrFhxXpl58+YpIyNDCQkJ6tGjhzZv3vyThxp06tRJzZs315QpU+w/8EAo1EZ7r7B161Z7ZiItLS0ANQfCu70jchBm4Tjm1L8JmuYL7UIWL16syZMn29sbbtu2zZYdNGiQjhw5UlmmYjzsuY8DBw7Y5xs0aKC8vDx98803WrRokT0NC0RqezdMb+zIkSO1YMGCWvm9gFC2d0QYM2YWcCrThJcvX15lW1ZWln/8+PGV616v15+amuqfOXNmtd5j7Nix/uzs7BrXFQjX9v7999/7+/Tp43/55ZcDWl8gXL/fN2zY4L/lllsCVleEFj2ziCilpaX2VOk111xTuc3tdtv1Dz/88JL2YXphzcUBRmFhoT3t1aZNm6DVGQhlezeZYfTo0RowYIBGjBgRxNoCoW/viEyEWUSUgoICO+avcePGVbabdXOl9qXYs2eP+vTpY09fmZ/333+/OnToEKQaA6Ft7x988IE9dWvGJprTs+bx2WefBanGQGjbu2HC76233qqVK1fa6yIIws4XE+oKAOEmKytLn3zySairAdSKX/ziF/L5fKGuBlBr1q5dG+oqIMDomUVEMbMOmKm1zr1gy6ybaYeASEJ7RzShvePHEGYRUeLi4uyk7+vWravcZnqdzHqvXr1CWjcg0GjviCa0d/wYhhnAcU6dOqWdO3dWrpvps8ywgMsvv1zp6el22pZRo0bZW9KaIQOzZ8+2073ceeedIa03UB20d0QT2juqJcSzKQA/mZlSxTTdcx+jRo2qLDN37lx/enq6Py4uzk7lkpOTE9I6A9VFe0c0ob2jOlzmP9WLwQAAAEBoMWYWAAAAjkWYBQAAgGMRZgEAAOBYhFkAAAA4FmEWAAAAjkWYBQAAgGMRZgEAAOBYhFkAAAA4FmEWAIKsX79+mjRpUli+R0ZGhr0lKAA4FWEWAAAAjkWYBQAAgGMRZgGgFr3yyivq1q2b6tWrpyZNmuiOO+7QkSNHKp/fuHGjXC6X1qxZo6uvvlp16tTRgAEDbJlVq1apXbt2ql+/vn1dcXFxlX2Xl5drwoQJSk5OVkpKih5++GH5/f7K580+hg4davfZokULvfrqq+fVb9asWerQoYOSkpKUlpamcePG6dSpU0H+VACg+gizAFCLysrKNGPGDOXl5WnFihX69ttvNXr06PPKPfroo3r++ee1adMm7du3T7fddpsd27po0SK99dZbevvttzV37twqr1m4cKFiYmK0efNmzZkzxwbTl156qfJ58z5mXxs2bNDSpUv1wgsvVAnShtvt1nPPPacvvvjC7m/9+vV64IEHgviJAEDNuPw/PGwHAATl4qzOnTtf8EKr3Nxcde/eXUVFRapbt67tme3fv7/Wrl2rgQMH2jJPPPGEpk6dql27dqlly5Z225gxY2wQXr16deV7mGBqQqjp2TUefPBBvfHGG/ryyy+1Y8cOtWnTxgZd835Gfn6+7el99tlnf/TiMRN6zXsVFBQE7fMBgJqgZxYAatHWrVvtqf709HQ71KBv3752+969e6uU69ixY+Vy48aNlZiYWBlkK7ad26vas2fPyiBr9OrVS19//bW8Xq+2b99ue227du1a+Xzbtm3VoEGDKvuoCNHNmjWz9RsxYoSOHTt23pAGAAgXhFkAqCWnT5/WoEGD7JhXM151y5YtWr58uX2utLS0StnY2NjKZRNQf7hesc3n8wW0fqan94YbbrBBetmyZTZ4z5s374L1A4BwERPqCgBAtDCn9U0vpxk2YC6uqhhmECgfffRRlfWcnBy1bt1aHo/H9sKaC8RMQK0YZvDVV1/pxIkTleXNcyYgP/PMM3bsrLFkyZKA1Q8AgoGeWQCoJWZoQVxcnL1wa/fu3XY8q7kYLFDMUIXJkyfbkPraa6/Z95k4caJ9zoyXHTx4sO677z4bek1wvfvuu+3MBhVatWplL1CrqJ+ZeWH+/PkBqx8ABANhFgBqSaNGjfTXv/5V2dnZyszMtD20Tz/9dMD2P3LkSJ05c0ZZWVkaP368DbL33ntv5fN/+ctflJqaasfpDhs2zD53xRVXVD7fqVMnOwPCk08+qfbt29uhEDNnzgxY/QAgGJjNAAAAAI5FzywAAAAcizALAAAAxyLMAgAAwLEIswAAAHAswiwAAAAcizALAAAAxyLMAgAAwLEIswAAAHAswiwAAAAcizALAAAAxyLMAgAAwLEIswAAAJBT/T+YWsy1cPxrzgAAAABJRU5ErkJggg==", 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", 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", 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", 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" ] @@ -161,8 +161,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "Test Accuracy: 0.6917\n", - "Best Beta: [0.16234822 1.00007806 0.46899704 0.40483675 0.13678616 0.19964254]\n" + "Test Accuracy: 0.6833\n", + "Best Beta: [0.09456054 1.25705903 0.57260971 0.50580371 0.25538789 0.09397436]\n" ] } ], @@ -180,7 +180,7 @@ "\n", "model.plot_lasso_path()\n", "\n", - "model.plot(X_valid, y_valid, measure=measure.AUCROC())\n", + "plt.show(model.plot(X_valid, y_valid, measure=measure.AUCROC()))\n", "\n", "model.validate(X_valid, y_valid, measure=measure.AUCROC())\n", "y_pred = model.predict(X_valid)\n", diff --git a/src/data/data_loader.py b/src/data/data_loader.py index b75ab7b..5a063c2 100644 --- a/src/data/data_loader.py +++ b/src/data/data_loader.py @@ -32,7 +32,7 @@ def load_data(self): class SyntheticDataLoader(DataLoader): """Synthetic data creator.""" - def __init__(self, p, n, d, g, random_seed=42): + def __init__(self, p, n, d, g, random_seed=42): # pylint: disable=too-many-arguments, too-many-positional-arguments """ Parameters: - p: Class prior probability for Y=1. 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json\n", - "import pickle\n", - "import pandas as pd\n", - "from dataclasses import dataclass\n", - "from sklearn.linear_model import LogisticRegression\n", - "from sklearn.preprocessing import StandardScaler\n", - "from sklearn.metrics import confusion_matrix, classification_report, accuracy_score, ConfusionMatrixDisplay\n", - "from src.log_reg_ccd import LogRegCCD\n", - "from src.data.data_loader import SyntheticDataLoader\n", - "from src.data.dataset_interface import DataInterface\n", - "import src.measures as measure" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Utils" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [], - "source": [ - "@dataclass\n", - "class ExperimentParams:\n", - " title: str\n", - " n: int\n", - " p: float\n", - " d: int\n", - " g: float\n", - " eps: float = 1e-3\n", - " lam_max: float = 10.0\n", - " lam_count: int = 100\n", - " k_fold: int = 10" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [], - "source": [ - "class color:\n", - " PURPLE = '\\033[95m'\n", - " CYAN = '\\033[96m'\n", - " DARKCYAN = '\\033[36m'\n", - " BLUE = '\\033[94m'\n", - " GREEN = '\\033[92m'\n", - " YELLOW = '\\033[93m'\n", - " RED = '\\033[91m'\n", - " BOLD = '\\033[1m'\n", - " UNDERLINE = '\\033[4m'\n", - " END = '\\033[0m'" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [], - "source": [ - "def test_model(model, X, y, save_path=None, ccd=True):\n", - " results = {}\n", - "\n", - " y_pred = model.predict(X)\n", - " if ccd:\n", - " y_pred_proba = model.predict_proba(X)\n", - " results['coefficients'] = model.best_beta\n", - " else:\n", - " y_pred_proba = model.predict_proba(X)[:,1]\n", - " results['coefficients'] = np.concatenate((model.intercept_, model.coef_[0]))\n", - "\n", - " results['accuracy'] = accuracy_score(y, y_pred)\n", - " results['classification_report'] = classification_report(y, y_pred)\n", - " results['confusion_matrix'] = confusion_matrix(y, y_pred)\n", - " results['auc_roc'] = aucroc(y, y_pred_proba)\n", - " results['balanced_accuracy'] = ba(y, y_pred)\n", - "\n", - " print(f\"\\nCoefficients: {results['coefficients']}\")\n", - " print(f\"\\n{color.CYAN}{color.UNDERLINE}{aucroc}{color.END}: {results['auc_roc']}\")\n", - " print(f\"\\n{color.CYAN}{color.UNDERLINE}{ba}{color.END}: {results['balanced_accuracy']}\")\n", - " print(f\"\\nAccuracy: {results['accuracy']:.4f}\")\n", - " print(f\"\\nClassification Report:\\n{results['classification_report']}\")\n", - " print(f\"\\nConfusion Matrix:\")\n", - " plt.figure()\n", - " disp = ConfusionMatrixDisplay(confusion_matrix=results['confusion_matrix'])\n", - " disp.plot()\n", - "\n", - " if save_path:\n", - " with open(save_path, 'w') as f:\n", - " f.write(\"=\"*50 + \"\\n\")\n", - " f.write(\"MODEL EVALUATION RESULTS\\n\")\n", - " f.write(\"=\"*50 + \"\\n\\n\")\n", - " \n", - " f.write(\"COEFFICIENTS:\\n\")\n", - " f.write(str(results['coefficients']) + \"\\n\\n\")\n", - " \n", - " if 'auc_roc' in results:\n", - " f.write(f\"AUC-ROC SCORE: {results['auc_roc']:.4f}\\n\\n\")\n", - " \n", - " if 'balanced_accuracy' in results:\n", - " f.write(f\"BALANCED ACCURACY: {results['balanced_accuracy']:.4f}\\n\\n\")\n", - " \n", - " f.write(f\"ACCURACY: {results['accuracy']:.4f}\\n\\n\")\n", - " \n", - " f.write(\"CLASSIFICATION REPORT:\\n\")\n", - " f.write(results['classification_report'] + \"\\n\\n\")\n", - " \n", - " f.write(\"CONFUSION MATRIX:\\n\")\n", - " np.savetxt(f, results['confusion_matrix'], fmt='%d')\n", - " f.write(\"\\n\")\n", - " \n", - " f.write(\"=\"*50 + \"\\n\")\n", - " \n", - " plot_path = str(save_path).replace('.txt', '_confusion_matrix.pdf')\n", - " plt.savefig(plot_path, format='pdf', bbox_inches='tight')\n", - " \n", - " plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Experiments params" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [], - "source": [ - "experiments = [\n", - " \n", - " ExperimentParams(title='Default', n=1000, p=0.5, d=10, g=0.1),\n", - "\n", - " ExperimentParams(title='Few samples', n=100, p=0.5, d=10, g=0.1),\n", - " ExperimentParams(title='Lots of samples', n=10000, p=0.5, d=10, g=0.1),\n", - "\n", - " ExperimentParams(title='Slightly imbalanced', n=1000, p=0.3, d=10, g=0.1),\n", - " ExperimentParams(title='Highly impalanced', n=1000, p=0.1, d=10, g=0.1),\n", - "\n", - " ExperimentParams(title='Few features', n=1000, p=0.5, d=5, g=0.1),\n", - " ExperimentParams(title='Lots of features', n=1000, p=0.5, d=100, g=0.1),\n", - "\n", - " ExperimentParams(title='Moderate correlation', n=1000, p=0.5, d=10, g=0.5),\n", - " ExperimentParams(title='Strong correlation', n=1000, p=0.5, d=10, g=0.9),\n", - "\n", - "]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Experiment choice" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [], - "source": [ - "random_seed = 42\n", - "chosen_experiment = 'Default'\n", - "results_main_dir = 'synthetic_data'" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [], - "source": [ - "results_dir = os.path.join('results', os.path.join(results_main_dir, chosen_experiment))\n", - "os.makedirs(results_dir, exist_ok=True)\n", - "\n", - "experiment = next(exp for exp in experiments if exp.title == chosen_experiment)\n", - "aucroc = measure.AUCROC()\n", - "ba = measure.BalancedAccuracy()" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [], - "source": [ - "# def ex(experiment):\n", - "\n", - "# results_dir = os.path.join('results', os.path.join(results_main_dir, experiment.title))\n", - "# os.makedirs(results_dir, exist_ok=True)\n", - "\n", - "# di = DataInterface(SyntheticDataLoader(experiment.p, experiment.n, experiment.d, experiment.g, random_seed))\n", - "# di.split_data(val_size=0.2, test_size=0.3)\n", - "# data = di.get_data()\n", - "# X_train, y_train = data['train_data'], data['train_labels']\n", - "# X_valid, y_valid = data['val_data'], data['val_labels']\n", - "# X_test, y_test = data['test_data'], data['test_labels']\n", - "\n", - "# scaler = StandardScaler()\n", - "# scaler.fit(X_train)\n", - "# X_train = scaler.transform(X_train)\n", - "# X_test = scaler.transform(X_test)\n", - "\n", - "# model = LogisticRegression(penalty=None)\n", - "# model.fit(X_train, y_train)\n", - "# test_model(model, X_test, y_test, os.path.join(results_dir, 'sklearn_metrics.txt'), False)\n", - "\n", - "# model_ccd = LogRegCCD(verbose=False)\n", - "# model_ccd.fit(X_train, y_train, experiment.eps, experiment.lam_max, experiment.lam_count, experiment.k_fold)\n", - "# test_model(model_ccd, X_test, y_test, os.path.join(results_dir, 'logregccd_metrics.txt'))\n", - "\n", - "# fig = model_ccd.plot(X_valid, y_valid, measure=aucroc)\n", - "# fig.savefig(os.path.join(results_dir, 'logregccd_aucroc.pdf'), format='pdf', bbox_inches='tight')\n", - "# plt.close(fig)\n", - "# model_ccd.validate(X_valid, y_valid, measure=aucroc)\n", - "# test_model(model_ccd, X_test, y_test, os.path.join(results_dir, 'logregccd_aucroc_metrics.txt'))\n", - "\n", - "# fig = model_ccd.plot(X_valid, y_valid, measure=ba)\n", - "# fig.savefig(os.path.join(results_dir, 'logregccd_ba.pdf'), format='pdf', bbox_inches='tight')\n", - "# plt.close(fig)\n", - "# model_ccd.validate(X_valid, y_valid, measure=ba)\n", - "# test_model(model_ccd, X_test, y_test, os.path.join(results_dir, 'logregccd_ba_metrics.txt'))\n", - "\n", - "# for idx, exp in enumerate(experiments):\n", - "# ex(exp)\n", - " " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data loading" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [], - "source": [ - "di = DataInterface(SyntheticDataLoader(experiment.p, experiment.n, experiment.d, experiment.g, random_seed))\n", - "di.split_data(val_size=0.2, test_size=0.3)\n", - "data = di.get_data()\n", - "X_train, y_train = data['train_data'], data['train_labels']\n", - "X_valid, y_valid = data['val_data'], data['val_labels']\n", - "X_test, y_test = data['test_data'], data['test_labels']\n", - "\n", - "scaler = StandardScaler()\n", - "scaler.fit(X_train)\n", - "X_train = scaler.transform(X_train)\n", - "X_test = scaler.transform(X_test)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## LogisticRegression" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Coefficients: [0.04763053 1.31354926 0.63858186 0.05971532 0.34383042 0.29294876\n", - " 0.14197142 0.33835913 0.08775935 0.22523133 0.13661218]\n", - "\n", - "\u001b[96m\u001b[4mAUC ROC\u001b[0m: 0.7958175750834261\n", - "\n", - "\u001b[96m\u001b[4mBalanced accuracy\u001b[0m: 0.7382647385984427\n", - "\n", - "Accuracy: 0.7367\n", - "\n", - "Classification Report:\n", - " precision recall f1-score support\n", - "\n", - " 0 0.78 0.69 0.73 155\n", - " 1 0.70 0.79 0.74 145\n", - "\n", - " accuracy 0.74 300\n", - " macro avg 0.74 0.74 0.74 300\n", - "weighted avg 0.74 0.74 0.74 300\n", - "\n", - "\n", - "Confusion Matrix:\n" - ] - }, - { - "data": { - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "model = LogisticRegression(penalty=None)\n", - "model.fit(X_train, y_train)\n", - "test_model(model, X_test, y_test, os.path.join(results_dir, 'sklearn_metrics.txt'), False)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## LogRegCCD" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Coefficients: [0.03309715 1.15530674 0.53586764 0.01442593 0.26084228 0.21664665\n", - " 0.08915 0.25685184 0.01816719 0.14353119 0.06329095]\n", - "\n", - "\u001b[96m\u001b[4mAUC ROC\u001b[0m: 0.7979532814238042\n", - "\n", - "\u001b[96m\u001b[4mBalanced accuracy\u001b[0m: 0.7348164627363738\n", - "\n", - "Accuracy: 0.7333\n", - "\n", - "Classification Report:\n", - " precision recall f1-score support\n", - "\n", - " 0 0.77 0.69 0.73 155\n", - " 1 0.70 0.78 0.74 145\n", - "\n", - " accuracy 0.73 300\n", - " macro avg 0.74 0.73 0.73 300\n", - "weighted avg 0.74 0.73 0.73 300\n", - "\n", - "\n", - "Confusion Matrix:\n" - ] - }, - { - "data": { - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "model_ccd = LogRegCCD(verbose=False)\n", - "model_ccd.fit(X_train, y_train, experiment.eps, experiment.lam_max, experiment.lam_count, experiment.k_fold)\n", - "test_model(model_ccd, X_test, y_test, os.path.join(results_dir, 'logregccd_metrics.txt'))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### AUC ROC" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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bjZ+xKmLjxo2upldT1yogJqIJAjQdbfw2dH9mMUYqUGmCzq9nn302em5ppiYF7QkTJrjB7ZOxbz3n3nvvdZMx+CnX82zt6tW+7gMAgEQ0sq4mzVFfHDUEFYbAm4DCbr169YI+jFLr16wsK2jepQEDBrjZmjQ7kmaSmj17tptNSh21SjI1qVpcNeqD/tP897//Nb9999137pj1YSo+dGsKV7X6nnbaadHlTz/9tKtbLo7Vq1fbGWecYY0aNXIjW/hJM5TVqVrV130AAFAYTRtet27dQtch8CYQCSN6AQtq8Usmha4xY8a41r2srCwr7XY64oiEy/X7UAezsWPH2mGHHeam/lQrrzpyxQfFRBQeNcVrfNidP3++ffLJJ4X+rqtXr25lypSxJUuW5Fmu+5qatqg0HWnTpk0Tlldo2lxNXRrbUq1WXE2JWtR965OuyiN0Dr/99tu+n0/a/6offijWczjfUZpwvqM0yU7x+a4GHjVQxjciJULgTSByqVkBKFWBV3PPa1+8IboC1YSLn3zySWvcuLEb9ksuueQSGzJkiAu8xS1piITdX375xcaPH2/VqlUr9LkKogqq48aNs/bt27tlKk3Q/e7duxf5R1OrtMoa9thjjwLPrUQt1UXZt/7jqz5YAVlDt2n4Mr9lZmQU+/8I5ztKE853lCbZAZ3vRSk/pdMadgga7mvw4MFuaK4ItdaqPEA1vZGShsJukU+A+g953nnn2TfffONaWlUfq0vzusV2HDv55JNdyI7QvnUMw4YNsxkzZljXrl1t3bp11qlTp+g62oaCt45Lpk+f7u5rnNzIMau1uF27dq5Veu7cua52V2Pm/v777wX+/Nvat8KuPlFr2XPPPefuR34m/XwAAJRmtPBih/DCCy+4T41qlY3QZQy19r700kvWrFmzIm/rjz/+cC2g0qRJkzyPqbU30oKsmlp1/oro0KGDLVu2zHr16uWCpJ6rsW5jW44HDRrk6osjjj/++GjHtMsvv9z9DBMnTnSd5M455xxXglCnTh0XrgtrKd3WvjU271dffZWwhVihWhNWAABQWmVobLKgDyJs1DpWtWrV6LBOflOL46hRo+z000/nkpcccIDZmWeaPfxw0EeCwvTqZTZsmNn8+cV6Guc7ShPOd5Qm2Sk+34uT12jhBQAAKaVSK4UjpJfs7Gw39rtGHkpGOZ1CszptJwOBFwAApIQuKqssa+XKlUEfCnz6/Wr0Ho2qlKx5DDROvba5vdsLPPAOHDjQ+vXr5/4DHHroofbEE08UWo+pcVg1XuqCBQtc5x91Purbt2+0R7rGHY2toZSGDRsWa3IAAACQfJGwq5Fq1KeByZ3SS25urht+UzOIbmsiiKKEZ3VYX7p0qbtfq1atHTfwangm9T5XR5/mzZu7MKthlWbNmuX+M8R75ZVX7LbbbnNDUR199NH2888/u45A+g/Tv3//6Hoan/Xjjz+O3mdqVQAAgqVL3JGwu62hILHjBt7Nmze7RsjtDbyiEZhEoVfnzfaUNwQ6LJlCapcuXdzQSpoVSsFXn/gUaBOZNGmSHXPMMXbRRRe5XucahknTwWpYqlgKuGr+jtzUEgxo9IUbbrgh6MMAgFIpUrOrv/NAUUXOl+2t+Q6s6VOfAKZOnWq33357dJk+DbRq1comT56c8Dlq1dUQVAq4KnuYM2eO6w146aWX5llPkwloXmV9wmjRooUredhzzz0LPJZNmza5W2yvv8iLm4qi+sg+KODfqqznWfxFrrZt27rXR0NxxdN4thr+S9P2amKKMFMh/0033WSvvfaaO+d0ReOpp57KM7RZPF0e0pWNkSNH2p9//ml77bWXG7f3mmuuSXgJSL1j9TppprXIRBV6bf7zn//Y559/7oZa0wdGPb9Hjx4J9/nFF19Yy5Yt7eCDDy50Qg8N8bKlmOct5ztKE873f+g10HuUbmoJRPrx/h74K5m/48g5o/MnvoW3OP+vAgu8+qOryxvxf+h1v6B6W7Xs6nnHHnus++G3bNni/mjfcccd0XVUGjF06FBXt7to0SJXz3vcccfZDz/8UODUcwrE8XW/ounxUvlJVFPmwqzVhg1WOW7ZlVdeaeeee66bnCF+vmyNcauZ1sIeduXGG2+0Dz74wEaMGOGGUtFMaRqPVwGzICr70dTH+rCnoKrz8tprr3Uf6s4666w866osKFFNnD5c6nKQtqHxi3W15KqrrnJvHvEzxemSY8eOHd3YwPHTGcfbtHGjfTRqlJUE5ztKE873f66+6kN87CQ/SD9r1qxJ2rZ0rmzYsMGNYa/cF0s1vkW1QxW3akaqBx54wLWIKdhqNiu1UN1777121113uXVOO+206PoKQFqvfv369vrrr7vQlIhamWNn8IrMzaySiVSNw6s3w9atWzNOo07KW2/Nt+zMM8+03Xff3X2YufPOO6PL9cap8KgWUJW36D/EihUrbJ999nEfhLSsIAqGsa2gkd6gCo2qDRf1NFWLrEKmrkDow9Njjz1WookcNE6gZkFTLfpJJ50UDesHHnigffnll3bUUUclfJ7C6WWXXRadEENB9emnn3ZXOmIDr1piH3nkETeDXHxx/xVXXJHn/t577+2upLz11lv5Aq8+ROrDpcKwWpULU75CBdeiXByc7yhNON/zXuHSe6o6NKVi6nOknud5LuyqgTFZHRJ13qiWV1dy48+byBX5UAde1dXqD2p8C5Lu6xNgIgq1Kl/o3Lmzu3/IIYe4qVQVAP79738nLJBWgNl///2jU70mUr58eXeLpzenVL5BpXp/oZXgP4laBtTqqMCr33XkP5LCrq4UXHLJJe57zWCmDylqRdW5ouBbnFnY4v9QqeRAZTEqm9Ax3HfffXbqqafa999/b+XKlXNTE1999dWFbufDDz90QVmtrNqmynYiDjjgAFduo/BZUOBVKY9mhlNoVauuPvipw+ajjz6a51OuQqpGPSno/0+iAL7bbrvlWaYArlIhtQTrZ90W/RZKes5yvqM04Xzf2mlN7936W709HZo0vOtnn5ktWqSe+2bHHWeWpKFaC6RGEE3trvd79TeK1a1bN9cQp4YJ/Y0qzXL/LmOI/J6TQdvR9hL9HyrO/6nAAq/CQtOmTW3cuHHRFja9ULof3+IU+0c9/gWM1HMUNGGcWgA1RWx8nS9CSL/DjRsLfFiBT0PYffrpp9HWTgU0lTqoFf/mm2+OrnvdddfZRx995Fr2Sxp4NYqIzslnn302GrC1P32IUujUFQC1sOoqQmE0dXBkOB6d93p+fBmPHiuIhurThzqVcih06//A4MGDo9MWR0olFIzbtWtXpJ9Nrcb6+fTBILb2XS3lkXAPAGHz1ltm6nrw++//LFOV22OPmZ1zjr/71pVf9b9QY0Nk9AC1PuqqXWH9hMJg8+bN7u9PaRboKA0qI9Afbn1qmjFjhnXt2tW12GrUBlGLXmynNnVc0hi8OuHmzp3rLhOp1VfLI8FXoUeBaN68ee6P+tlnn+0eK+zSdpD0SfXTTzNs4sQ67mtkYhJ9nTDB7NVXt35NwoQlSVWc48vZnGPfDphgk6571X3V/Xw0CPm552rQ5AK3o9ZQhbrIKB5qtVc4U6mKWg5U2qJWf7Va6pKZAq/Gay4pdfTSPnRpRtvTTdvWG5w+RIke23fffQu9Rd4YS0qBVyUPauVVK7HKFtSiEBl6T8tV46tSjKJQPbuCce/evV1oF71+aiFWLbuuiABAGMPueeflDbvyxx9bl+txPx1++OEu9KoU7J9jesuF3cMOOyy6TA0l6hukDsZ6/9ccA2+88Ub0cb3f6u9W5HH1OVKpXCw1qqixpnLlyq6RRCNUzf97Gne1NseW4olGIIo0BIm+V+OhluuKeps2baLv/yr91N8zNbaoMVB9o0qDQJtxOnToYMuWLbNevXq5Fq4mTZq43uWRjmwKK7EtuqrdVEubvv7xxx+uplNh9/7774+uo05NCrfqza7H1cFNYUHfh/eTqn4NR5iGEtYnVWVzBclEn2DVgFfUSzkFXfZJtFyKuu477yT+hK0r7BoBLnbdr29/y/bs38Oa5Pyz8sKb69qCno/ZkX3PcdveOPl/1vLJ86zC+r8s44UXzG65pcDXTG8Sar3VpXu1tqpkQaMJPPjgg+4NQ6FPoVdvEvqPXljHCJ1L8VcGYnt86uqArkKobCFe5HwqTkmDSg10POoUFtvKW1gZjwr1VYusWuMzzjgjWpuuet2HH37YlUco7CqAx7ccq+Vb+9UbZ8RPP/3kOqOpxTi2Flo1V6r9/d///he9wqI3bb0+au1VDXOk7hgAkkFvv0Xtc6S/Rddfv/U5ibaji3D6u6SKsaKUN6g/eklKTHWlUX97Lr74YndfDTBqpIt9n1XYVVmYSh/2228/17dEZXf6u6G/V3pv1RU7leFpPOJIJ2L1vfi///s/1zFLgVbDtr766qvu74b6bBS3JlaNiWpIjHSKXrlypXsfV1moWqn190VlgNqn/o6kPQ/5rFq1Sv+l3Fe/vPmm52Vk6L9p0W6RdatVy7u8bl3PGzHC88aP97xXXtn6dcuWrdvXY/Hr3nJL/uXaZqLtFrRuUY+5405vejmW4eXEPbB1WYbXsfIbXhd72ttg5b2vranXouYcd9y5DRt63k03JXzd1qxZ4+20007eoEGDvLp163r333+/W37mmWd6V1xxRXS9nJwcb7/99vPatWsXXdayZUuvR48e0ft77LGHN3DgwOj9n3/+2f3en3/+eXf/mWee8XbddddCz4PVq1d7v/zyS6G39evXu3VXrlzpZWVleW+88Ub0+TNnznT7nDx5cqHn4qhRo/Isv+qqq7zWrVu77xctWuRNnz49z03Peeyxx7w5c+ZEn/PDDz+4n/kW/WLj6PWK30bXrl29hg0buu/Xrl2b/+Duusvz9tzTK67Nmzd7I0eOdF+BdMf5/o8NGzZ4P/30k/sqelsp6t+TZN8SvaUV5rLLLnN/T5YuXeqVL1/emzdvnrtVqFDBW7ZsmXtM62zcuNGrVKmSN2nSpDzPv/LKK70LL7ywwO1369bNO/fcc933f/75p3sPnzBhQqHHEkt/2/Q3LkLfH3bYYXnWuffee71TTjklz7LffvvN7WvWrFleMuhvyYoVK9xXv86bkuY1CvUCoE+q+iRaQNlxQpF1//wz73K1sp5/ft5lmsAmfr3Iuv365V++vesmkmk5dt9ajfHq5aubyTTPVNb+zLqLrLxttiW2u9WzBbZ68XpX1TC3gllBYyDoMoyuDKjURb0zI6Mp6FO0Lhnpk/Kuu+7qJjVRy6kmNCmIPuk++eSTrlOaLjHpk25sAbw+watmWJf/77nnHveJXJeUdAnr1ltvdfdV0lDQcHfxNAyZWqhVyqPSCHWuU2u19h/bYU2lG2ohUDmO1lGLwC233OIufalWWSU7L7zwQnR2wcgEK/F0mU2XzCKXsfTz6rKW9h+pGVa5j1oddCVFY+7G0jBm6hEbvxwASiu9X+pqmzqn6QqYvo+d3EplcOpvpFE5YqmVNrbsQVcp1TqsK9lqadXjusot+vugv216v9Z2dCVPrbDFnVpXVyjjy/TGjx/v/o7G01XCdC9nI/AGQJfx42uQkqmoodRPx9lnVs8K/iEVghV2Jcu22Nd2pO1uS6ys7W+526hXVmjU8F4aDkujFoguz2t0Ab1BaOxkXR7SJSGNRFAQ1cLqUpQu+2s7KolQjWyEtqNLUQrCGitXl/3VAU0lASUdrk6XkRQuVW4QO/FELE2tHXvcqllXwFcA/+uvv1zoVRlPooknCqIPAyof0mU23SK0LdW7A0Cqqaxg7dqirTtxollRRkDUsOAx/XkL3XdJqawhUvql4BpLpXCiDsGRDssRkdGg9J6u/kb6G6QGDzWaqHHlq6++iq6rsglNMKQyT3Uw1t849VtS44j+hhRWjheh0r74Y2vbtq0rAYxX3DC9IyLwBkA1rumulhXth3zCullVW22n2mgbbyfbKqtiGVb4MCN6g4j/z65PxNsaMza2xkoUctWxLZZqnGKp5VR1UMmiFlO9Qca/ScaK/9l0DHrzK474bdx9993uVhwleQ4AFJVKUuMyWYHUv1Z9RdRBLdHVUW1Lj2s9v4co09CUapFVTW2kM1iErioq2KrlVlfnElFNrTpgawKhiEhH6FhqEdZNDR76u6fRIBR41cqsq3ax1K9jW0N0HX744fbmm2+6ceRL40g8gY7SUFqVgg9StsiK9kO+aefZZfaC1bTFdoR9bf3sFsvNN7EwAKA0U4iNDGQQ33crcl8D1fgddrceSxk3spQ6AcdPdavWWrXeaqhINZYoyE6bNs2NthNpPFEJnjoJq8FFY6prtKmvv/46ug2NQqWQq/HZVUanTsMaNlKTFInK0/R8lbZpuUbciQ/AiXTr1s1dJVTHfu1Px6Zj0JVOlfWlOwJvADR6gT6JJmkSklD6zI6z36xugeFVyxdYPbee/V3pO9WOsPvtTvvLqqX4aAEAYadxdjW6V1ylgPt7quV+j8MbS2VtBZW2RWZ/VV8MhVS1CKvEIdKnQiP7qExO/VE0jrtGlYpt7VU53cyZM13pm+pqVaKnsBoZEUitytq++pIceeSRrtxOw7huS+3atV3rssKthqTUiEYazUgj/CRrkogwy1DPtaAPImzUGUodjFRH6dfUwpHxBCVdfwNn21v2hp0X7agWEQnB59kb9rblf4eakXWIHXBVS7Mnn0zh0aLYNAX0229rxopiPU21ZqNGjXI12KV95imkP873f2gMc7VeKvhtz9TCQcy0hqLRkGvKUMpOyQrRhZ03xclr6R/pd7BPqvXqbR2GVp9Y40dekKBbhSP7jxxPYUZmnONC7aLMvD/kwsy6brkeT+Sn7P0te/I/l3cQUlOmmO27b9BHAaCUUbjVHAsas15fCbsoCgJvwKFXHeTHjt1iPXt+477OnWv20ENbl48fb/bKK1u/Llli9uab+QNycUJpYWG6qOvqvo5DxxN7fK+/nnjdS948x2pumGffPjreJnV/xX2ttWGuWx7/s0SO4U0717KmTVE3123/sAjGuHFbu01HLlMAABBipa+bXsjok2nLlp6tW/eHtWx5aPSTauQTbHxAjp9pbdkyTdGcf9YzFe8XNCtb375Fn2kt0bqRY0x0fInXLWNNbjhhmz9LZBa3m68/z95ZOMLatmtvdtrplnnC8SWfFgfJo9qbDRvMPv9864cR9U7+e7YhAADCjMC7gykoCBc1lBa0jeKuW9RjK+76W4NwOfv8k+H27YtP2b7/e9127t1bRTxbV1Ap8N+5N1ezV6RYtCQp5jgKOhbl8x2xPls/Y4EfLVQ/ddBBZprOW+NQbkcdHgAAqULgTQPFDZo7RKt363JmrW8wM90Se+etrTPWxbZuqxTjggvMXn017/JIuUTspBwFravlBbWQZxRUK5agE0VmmfydKxK1yEdmxosPyJH78TPn6fXxawQZ14ieqzF4NXQOHUIAAOmBwIsdVkFlEX6WbRT3Q0dRW+RVyhEf3gsqTVFo7tBh6zrJbkGObE+N6rHHofEvC3qtAQAIOwIvdmjFCZrJKNtIhqLWZxcWvLU8PiD7RTMbnXtu/pbmSBBO5diXAACUBIEXCIniBO/YgKxAesMNZsuX+3NckVbf2LAr2q8GadAIHdWr0/ILAAgvAi+QBgG5YsXUT2QS2Y/qoGNrimn5BQCEDePwAmk8kUkqJiyJ70AXafm9556tHQInTPCvkx0AAEVB4AXSbCKTokxY4mcQVsuvbur4dtFFZieeaNagwdbptAFgR3P55ZdbRkaGXXPNNfke69atm3tM6/hp6NChbj8HHnhgvsdGjBjhHmugN1oUiMALpPmUm8UJwn6JtPoSegFsN10y0qWjFF5Cqlevnr322mu2QZPv/G3jxo32yiuv2J577mmpULlyZVu6dKlNnjw5z/LnnnsuZcewPTZv3mxBIvACpUBRgnCfPv62+oo611HeAKDE9KlZLZm6dJTCS0iHH364C71vxexH3ytoHnbYYXnWHT16tB177LG2yy67WLVq1ezMM8+0X3/9Nfr4Cy+8YDvttJP98ssv0WXXXnutHXDAAbZ+/foCj6Fs2bJ20UUX2ZAhQ6LLfv/9d5swYYJbHu+dd95xx12hQgXbe++9rU+fPrZly5bo4/3797dDDjnEBWn9bDqGtWvXRh+fP3++tW3b1nbddVe3zkEHHWSjRo2Ktjjr54s1cuRIKxPTY/nuu++2Jk2a2LPPPmt77bWXOw5ZuXKlde7c2XbffXerUqWKnXTSSfbdd9+Z3wi8QCkWG4R79fK3/EGh97ffNDMxU0QDKAGFTV0qih+PMUWXkK644gp7/vnno/cVPDt16pRvvXXr1lnPnj3tm2++sXHjxllmZqadffbZlvv3lJwdO3a0008/3S6++GIXQD/44AMXCl9++WWrVKnSNo/h9ddfjwZjBc9TTz3VatSokWe9zz77zO2nR48e9tNPP9nTTz/t1r1fs2T+Tcf1+OOP248//mjDhg2zTz75xG699dY85RqbNm2yiRMn2vTp0+3BBx90Qb04Zs+ebW+++ab7cPDtt9+6Zeeff75rqf7www9t6tSpLpSffPLJ9tdff5mvPOSzatUqtUe5r6mwefNmb+TIke4rELQtWzxv/HjPe+WVrV91/803Pa9u3Uh17tZbmTJ57xf1dvvtW7yePb/2xo7NdtsG0hnv7//YsGGD99NPP7mvxaY3i/g3odhbRobn1au3db0ku+yyy7x27dp5S5cu9cqXL+/NmzfP3SpUqOAtW7bMPaZ1CqJ1lCmmT58eXfbXX395devW9bp27erVqFHDu//++ws9hueff96rWrWq+75JkybesGHDvNzcXG+fffbx3nnnHe/RRx/16tevH13/5JNP9h544IE823jxxRe9WrVqFbiPESNGeNWqVYveP+SQQ7y77757m8cT8fbbb7ufc8WKFV5OTo7Xu3dvLysry71uEZ999plXpUoVb+PGjXmeq5/j6aefLvZ5U5y8xrBkAEo0MUZJZ3zr21eXvI6w/v0ZwgxAEenNp7CZdiKXkLSeTzMJ6RL8GWec4VpKPc9z31fXIORxVKrQq1cv++qrr2z58uXRlt0FCxbYwQcf7L5XmYBqb9u0aWNHH3203XbbbcVuaVY5hVqT1Vr85JNP5llHJQJffPFFnhbdnJwcV3es1mG1JH/88cfWt29fmzlzpq1evdq1Nsc+fv3111vXrl1tzJgx1qpVKzv33HOtcePGxXrN6tev71632ONS2YRKPWKpNjq27MMPBF4AJQ7C2zvjW+RKpIZUI/QCKJA+aSdzvRJS2Ozevbv7fuDAgQnXUd2rgt7gwYOtdu3aLvAq6MZ32lKpgGpeFy1a5ILrzjvvXKRjUCmESg9UI3vppZe62t54CpWq2T0nwRtrhQoVbN68ea62WIFWoXi33Xazzz//3K688kp3nAq8qrNVIFfJhUKvwvEjjzxi1113nSuHUOiPlZ2dnW9fqv2NP65atWq5uuN48TXByUYNL4AS296Ob3RmA1AkuqyUzPVKSPWyCoQKdwqD8f7880+bNWuW3Xnnna4uVcOIrVixIt96kyZNcjWx7733nquLjYToolA4Peuss+zTTz91ATwR1cXqOPbdd998t8zMTFc7qyCuAHvUUUfZ/vvvbwsXLsy3HXVm03BsqsG96aabXIgXtdquWbPGBfWISI1uYXRcixcvdiE9/rgStZYnEy28AJLa8qsrdsVp9U3BlUgAOzrNWa4aKF0WSlRDpU/Zelzr+UgtsjNmzIh+H0+lCrpc/8wzz7iWTJUxxJcrKCiqZVYlA6eddprVrVvXjjzySNcyfF5kysxtUFnFU089la80IEIlFWrBVdmDtpmZmenKCX744Qe77777XMBUaH/iiSfcflX+MGjQoDzbuOGGG9zxKQwrtI8fPz46DnDz5s1dK/Add9zhfg6Vb+iYtkWlES1atLD27dvbQw89FA3aakVWx74jjjjC/EILLwBfW33vvDMUVyIB7MgULlXwn+gSUuT+gAFb1/OZhtLSLREFS43XqxZUlTHceOON1q9fvzzraOQEXep/4IEH3H0NDabvr776avtDgb4IKlasWGDYFbU+v//++64UQWH6qKOOskcffdSVWsihhx7qhiVTK7OOUyNEqGQhlmp+NVKDQq5athVOFbIjrcwvvfSSG6ZMx//qq6+6Eott0QQZes7xxx/vRrjQNi+44AI3BFr8SBPJlqGea77uYQek4u2qVavaqlWrCjypk0mfsnQCqPA8KyvL9/0BqaRSLQ2VuS0KyLTwIt3w/v4PdYiaO3dunjFZi01Dj8VfQqpXb2vYpSNA4HJzc12GUnZS+Pf7vClOXqOkAUCgVyJFj6uGVxMnqQRPz0lBQw2AHU2iIWN4w0AREHgBpORKpErTdOUxUejV5D6tWv1zn+HKABRryBhgG6jhBeA7BVcNPRY/i1ukUWblykAmTgIAlBIEXgAp7cw2duwW69nzG/vooy0WMx55HgxXBgBIJgIvgJRRi27Llp4df/wfpv4MixcXbbgyAOmDvvII4nwh8AIozRMnAUiRyCgVmroWKKrI+bK9o5zQaQ1AaZ44CUCKaKIGTR+7dOlSd18TF2hcVqTXsGSbN292Q4lt77BkatlV2NX5ovMm0UQfxUHgBRCIY4/1wjBxEoAUqlmzpvsaCb1IL57n2YYNG9zEGMn6MKOwGzlvtgeBF0AohyvT/c6dzV5/naE2gXShEKQpd/fYYw83KQfSS3Z2tk2cONHNpJaMiVa0je1t2Y0g8AIIfLiy+ImTInr3/ud7xuYF0odCTLKCDMKjTJkytmXLFjcjWthmFqTTGoBQDFemqYVfecWsoOnYGZsXAFBStPACCM3ESRpzt0GDxOuoxEGlDxqbVzOL0jgEACgqWngBhIbG3E1U2hDB2LwAgJIg8AIIDcbmBQD4gcALIDQYmxcA4AcCL4DQ0NBjGo2hsOEb9bhqfV991WzChK3fAwBQGAIvgNCNzSsFhd7ly81atTK76CKzE0/c2smNkRsAAIUh8AII5di8derkXb7TTlu/btyYdznDlQEAtoXACyD0Y/N+/LFZ1aqJ143M0KbhyihvAAAkQuAFEOqxeS+8cOv3asktCMOVAQAKQ+AFEHoMVwYA2B4EXgChx3BlAIDtQeAFsMMPV6bl9eptXQ8AgNAF3oEDB1qDBg2sQoUK1rx5c5syZUqh6w8YMMAaNmxoFStWtHr16tmNN95oG+O6bRd3mwB27OHKVMM7YMDW9QAACFXgHT58uPXs2dN69+5t06ZNs0MPPdTatGljS5cuTbj+K6+8Yrfddptbf8aMGfbcc8+5bdxxxx0l3iaAHXu4MmnUyOzss4M4KgDAjiDQwNu/f3/r0qWLderUyRo1amSDBg2ySpUq2ZAhQxKuP2nSJDvmmGPsoosuci24p5xyil144YV5WnCLu00AO+5wZcOHm5Uvb/bTT2Zvv7115jVmYAMAxCtrAdm8ebNNnTrVbr/99uiyzMxMa9WqlU2ePDnhc44++mh76aWXXMBt1qyZzZkzx0aNGmWXXnppibcpmzZtcreI1atXu6/Z2dnu5rfIPlKxLyBoyTjfjznmn+9vuCHTHnywjHXo4NmWLf/UO9Sp41n//jl21lmeff55hhvBQZ3ajj1268C98ctUDqGQXNTlfm4D6YP3d5Qm2Sk+34uzn8AC7/Llyy0nJ8dq1KiRZ7nuz5w5M+Fz1LKr5x177LHmefrjtsWuueaaaElDSbYpffv2tT59+uRbPmbMGNc6nCpjx45N2b6AoCXrfN+0qa6ZHZ4n7IrG7e3QoYzttNNmW7u2fHT5zjtvcjW/scuqVdtgxx33u332WV3788+K21zu5zY6d55uLVowvlq64f0dpcnYFJ3v69evD3/gLYkJEybYAw88YE899ZTrjDZ79mzr0aOH3XvvvXbXXXeVeLtqEVbdb2wLrzrEqWSiSpUqlopPKDo5WrdubVlZWb7vDwhSMs93tZp261bQ25gCsGdr15bLs3TNmrz35c8/K9jIkfsWeblf2/jrrwr20ENH2muv5djZZ/89hRx2aLy/ozTJTvH5HrkiH+rAW716dStTpowtWbIkz3Ldr1mzZsLnKNSqfKFz587u/iGHHGLr1q2zq666yv7973+XaJtSvnx5d4unX1Yq36BSvT8gSMk437/4ovAZ2LaG3pIuK+7y7d+G52W4UShuvrmsnXsuo06kE97fUZpkpeh8L84+Auu0Vq5cOWvatKmNGzcuuiw3N9fdb9GiRYFN16rJjaWAKypxKMk2Aey40nFmNaZJBoDkC7SkQWUEl112mR1xxBGuE5rG2FWLrUZYkI4dO1qdOnVcja20bdvWjcJw2GGHRUsa1Oqr5ZHgu61tAkgf6TyzWjqGeQAolYG3Q4cOtmzZMuvVq5ctXrzYmjRpYqNHj452OluwYEGeFt0777zTMjIy3Nc//vjDdt99dxd277///iJvE0D6zcCmsga1jKaTdA7zAJBqGZ5qAZCvCLpq1aq2atWqlHVa0/Bqp59+OjVeSHvJPt/fesvsvPO2fp8O72aq4VWInzuXGt50wPs7SpPsFJ/vxclrgU8tDAB+zMBWrVrBUxGHVeRYmSYZAJKLwAsg7WZg01cN1vLmm4mDcCQMR9SrZ3bLLVtbVouy3K9taB2Fd/08AIDk2aHG4QWAgqhF9IQT8i5TcGzXbuuIB5HZzFT3K/HL9Hz1jy3q8mRt44ILtobcCy80e/FFWnYBwA8EXgClLghLomUFrevnNvbaa+tXtUQTdgHAH5Q0AECAyv7d7LBlS9BHAgDpi8ALAAEi8AKA/wi8ABAgAi8A+I/ACwABIvACgP8IvAAQIAIvAPiPwAsAASLwAoD/CLwAECACLwD4j8ALAAEi8AKA/wi8ABAgAi8A+I/ACwABIvACgP8IvAAQIAIvAPiPwAsAASLwAoD/CLwAECACLwD4j8ALAAEi8AKA/wi8ABAgAi8A+I/ACwABIvACgP8IvAAQIAIvAPiPwAsAASLwAoD/CLwAECACLwD4j8ALAAEi8AKA/wi8ABAgAi8A+I/ACwABIvACgP8IvAAQIAIvAPiPwAsAASLwAoD/CLwAECACLwD4j8ALAAEi8AKA/wi8ABAgAi8A+I/ACwABIvACgP8IvAAQksDreUEfDQCkJwIvAIQg8EpubpBHAgDpi8ALACEJvJQ1AIA/CLwAECACLwD4j8ALAAEi8AKA/wi8ABAgAi8A+I/ACwABysw0y8jY+j2BFwD8QeAFgIAxFi8A+IvACwABI/ACgL8IvAAQMAIvAPiLwAsAASPwAoC/CLwAEDACLwD4i8ALAAEj8AKAvwi8ABAwAi8A+IvACwABI/ACgL8IvAAQMAIvAPiLwAsAASPwAoC/CLwAEDACLwCUgsA7cOBAa9CggVWoUMGaN29uU6ZMKXDdE044wTIyMvLdzjjjjOg6l19+eb7HTz311BT9NABQPAReAPDX32+zwRk+fLj17NnTBg0a5MLugAEDrE2bNjZr1izbY4898q3/1ltv2ebNm6P3//zzTzv00EPt/PPPz7OeAu7zzz8fvV++fHmffxIAKBkCLwCkeQtv//79rUuXLtapUydr1KiRC76VKlWyIUOGJFx/t912s5o1a0ZvY8eOdevHB14F3Nj1dt111xT9RABQPAReAEjjwKuW2qlTp1qrVq3+OaDMTHd/8uTJRdrGc889ZxdccIFVrlw5z/IJEya4FuKGDRta165dXUswAIQRgRcA0rikYfny5ZaTk2M1atTIs1z3Z86cuc3nq9b3hx9+cKE3vpzhnHPOsb322st+/fVXu+OOO+y0005zIbpMmTL5trNp0yZ3i1i9erX7mp2d7W5+i+wjFfsCgsb5nt/W96VM27hxi2Vne0EfDpKI8x2lSXaKz/fi7CfwGt7toaB7yCGHWLNmzfIsV4tvhB5v3Lix7bPPPq7V9+STT863nb59+1qfPn3yLR8zZowrl0gVlWcApQXn+z9WrGhhZnvY1Knf2U47/R704cAHnO8oTcam6Hxfv379jhF4q1ev7lo2lixZkme57qvutjDr1q2z1157ze65555t7mfvvfd2+5o9e3bCwHv77be7jnOxLbz16tWzU045xapUqWKp+ISik6N169aWlZXl+/6AIHG+5zdoUBn77juzgw461E4/vXHQh4Mk4nxHaZKd4vM9ckU+9IG3XLly1rRpUxs3bpy1b9/eLcvNzXX3u3fvXuhzR4wY4coQLrnkkm3u5/fff3c1vLVq1Ur4uDq4JRrFQb+sVL5BpXp/QJA43//xz8tQNuZ7pBPOd5QmWSk634uzj8BHaVDL6uDBg23YsGE2Y8YM18FMrbcatUE6duzoWmATlTMoJFerVi3P8rVr19ott9xiX375pc2bN8+F53bt2tm+++7rhjsDgLCh0xoA+CvwGt4OHTrYsmXLrFevXrZ48WJr0qSJjR49OtqRbcGCBW7khlgao/fzzz93NbbxVCLx/fffuwC9cuVKq127titNuPfeexmLF0AoEXgBIM0Dr6h8oaASBnU0i6ehxjwvcU/mihUr2kcffZT0YwQAvxB4AcBfgZc0AEBpR+AFAH8ReAEgYAReAPAXgRcAAkbgBQB/EXgBIGAEXgDwF4EXAAJG4AUAfxF4ASBgBF4A8BeBFwACRuAFAH8ReAEgYAReAPAXgRcAAkbgBQB/EXgBIGAEXgDwF4EXAAJG4AUAfxF4ASBgBF4A8BeBFwACRuAFAH8ReAEgYAReAPAXgRcAAkbgBQB/EXgBIGAEXgDwF4EXAAJG4AUAfxF4ASBgBF4A8BeBFwACRuAFAH8ReAEgYAReAPAXgRcAAkbgBQB/EXgBIGAEXgDwF4EXAAJG4AUAfxF4ASBgBF4A8BeBFwACRuAFAH8ReAEgYAReAPAXgRcAAkbgBQB/EXgBIGAEXgDwF4EXAAJG4AUAfxF4ASBgBF4A8BeBFwACRuAFAH8ReAEgYAReAPAXgRcAAkbgBQB/EXgBIGAEXgDwF4EXAAJG4AUAfxF4ASBEgdfzgj4aAEg/BF4ACEngldzcII8EANITgRcAAhYbeClrAIDkI/ACQMAIvADgLwIvAASMwAsA/iLwAkDACLwA4C8CLwAELDPTLCNj6/cEXgBIPgIvAISolTc7O+gjAYD0Q+AFgBBg8gkA8A+BFwBCgMALAP4h8AJACBB4AcA/BF4ACAECLwD4h8ALACFA4AUA/xB4ASAECLwA4B8CLwCEAIEXAPxD4AWAECDwAkCaB96BAwdagwYNrEKFCta8eXObMmVKgeuecMIJlpGRke92xhlnRNfxPM969epltWrVsooVK1qrVq3sl19+SdFPAwDFR+AFgDQOvMOHD7eePXta7969bdq0aXbooYdamzZtbOnSpQnXf+utt2zRokXR2w8//GBlypSx888/P7rOQw89ZI8//rgNGjTIvvrqK6tcubLb5saNG1P4kwFA0RF4ASCNA2///v2tS5cu1qlTJ2vUqJELqZUqVbIhQ4YkXH+33XazmjVrRm9jx45160cCr1p3BwwYYHfeeae1a9fOGjdubC+88IItXLjQRo4cmeKfDgCKhsALAP75+y02GJs3b7apU6fa7bffHl2WmZnpShAmT55cpG0899xzdsEFF7hWXJk7d64tXrzYbSOiatWqrlRC29S68TZt2uRuEatXr3Zfs7Oz3c1vkX2kYl9A0DjfE9OVKrVBbNy4xbKzvaAPB0nC+Y7SJDvF53tx9hNo4F2+fLnl5ORYjRo18izX/ZkzZ27z+ar1VUmDQm+Ewm5kG/HbjDwWr2/fvtanT598y8eMGeNaj1NFrdVAacH5nteaNcfpGpZ99dVUy8hI/F6FHRfnO0qTsSk639evX79jBN7tpaB7yCGHWLNmzbZrO2phVh1xbAtvvXr17JRTTrEqVapYKj6h6ORo3bq1ZWVl+b4/IEic74k9/HAZmzXL7NBDm9rpp9PCmy4431GaZKf4fI9ckQ994K1evbq7jLdkyZI8y3Vf9bmFWbdunb322mt2zz335FkeeZ62oVEaYrfZpEmThNsqX768u8XTLyuVb1Cp3h8QJM73vP55KcrGfI90wfmO0iQrRed7cfYRaKe1cuXKWdOmTW3cuHHRZbm5ue5+ixYtCn3uiBEjXN3tJZdckmf5Xnvt5UJv7Db1CUCjNWxrmwAQFDqtAYB/ihx4VWv7/fff24YNGxLWUOgxhdXiUinB4MGDbdiwYTZjxgzr2rWra73VqA3SsWPHPJ3aYssZ2rdvb9WqVcuzXGPy3nDDDXbffffZu+++a9OnT3fbqF27tlsfAMKIwAsA/ilyScOLL75oTz75pGspTdRSe8UVV7igGd/iui0dOnSwZcuWuYki1KlMZQejR4+OdjpbsGCBG7kh1qxZs+zzzz93ncoSufXWW11ovuqqq2zlypV27LHHum1qYgsACCMCLwCEIPCqRfXmm2/+e+icuI2ULetCpgJxcQOvdO/e3d0SmTBhQr5lDRs2dOPtFkStvKrtja/vBYCwIvACQAhKGtSqetRRRxX4+JFHHulKEgAAxUfgBYAQBF6VCBQ2/MOaNWuKNR4aAOAfBF4ACEHg3W+//WzSpEkFPq6aWq0DACg+Ai8AhCDwXnTRRXbnnXe60Rjifffdd67TmdYBABQfgRcAQtBp7cYbb7QPP/zQjZvbqlUrO+CAA9xyTQH88ccf2zHHHOPWAQAUH4EXAEIQeDWbhYYBe/TRR+2VV16xiRMnupES9t9/f7v//vvdkGTMIgMAJUPgBQD/FGtqYQVaDT+mGwAgeQi8ABCSwCuaaW3s2LH2888/R8fEVYlDxYoV/Tg+ACgVCLwAEJLAq6l6O3fubMuXL8+zvHr16m5iirZt2yb7+ACgVCDwAkAIRmnQkGTnnXeeHX/88fbFF1/YX3/95W4ajuy4445zj3355Zc+HioApC8CLwCEoIX3vvvus06dOtnTTz+dZ/nRRx/tbldffbWbynfUqFF+HCcApDUCLwCEoIVXrbfdu3cv8PFu3brZ5MmTk3VcAFCqEHgBIASBV53VqlSpUuDjVatWtY0bNybruACgVCHwAkBIphb+5JNPCnx83LhxTC0MACVE4AWAEARe1e/efPPNCWt0P/jgAzc27+WXX57s4wOAUoHACwAh6LTWo0cPN1LDmWee6cbePfDAA91MazNmzLBffvnF2rdv72ZbAwAUH4EXAELQwpuZmWkjRoywV1991QXemTNn2qxZs+yAAw6wl19+2d588023DgCg+Ai8ABCimdY6dOjgbgCA5MnK2vqVwAsAyZe0Jtlp06a5cgcAQPHRwgsAIQm8H330keu4dscdd9icOXPcMpU2qH73yCOPtNzcXL+OEwDSGoEXAEJQ0vDcc89Zly5dbLfddrMVK1bYs88+a/3797frrrvOlTj88MMPriMbAKD4CLwAEIIW3scee8wefPBBW758ub3++uvu61NPPWXTp0+3QYMGEXYBYDsQeAEgBIH3119/tfPPP999f84551jZsmWtX79+VrduXR8PDwBKBwIvAIRkauFKlSq57zMyMqx8+fJWq1YtHw8NAEoPAi8AhGRYMtXt7rTTTu77LVu22NChQ6169ep51rn++uuTe4QAUAoQeAEgBIF3zz33tMGDB0fv16xZ01588cU866jll8ALAMVH4AWAEATeefPm+XgYAFC6EXgBwD/MBQwAIUDgBQD/EHgBIAQIvADgHwIvAIQAgRcA/EPgBYAQIPACgH8IvAAQAgReAAhB4F24cKHdfPPNtnr16nyPrVq1ym655RZbsmRJso8PAEoFAi8AhCDw9u/f34XdKlWq5HusatWqtmbNGrcOAKD4CLwA4J8iB97Ro0dbx44dC3xcj73//vvJOi4AKFUIvAAQgsA7d+5cN9taQerWrcvkFABQQgReAAhB4K1YsWKhgVaPaR0AQPEReAEgBIG3efPm9uKLLxb4+AsvvGDNmjVL1nEBQKkMvDk5Zp4X9NEAQHr5+y122zRCQ+vWrV0HNY3IUKNGDbdcIzM89NBDNnToUBszZoyfxwoAaR94I6E39j4AYPsU+S31xBNPtIEDB1qPHj3s0UcfdaM1ZGRkuCHJsrKy7IknnrCTTjppOw8HAEqn2ICrsgYCLwAkT7HeUq+++mo788wz7fXXX7fZs2eb53m2//7723nnnec6rQEAkhN4AQDJU+w2hDp16tiNN96YxEMAABB4ASAEgffxxx9PuFw1vWrlbdGiRTKPCwBKlTJl/vmewAsAAQVe1e0msnLlSlfHe/TRR9u7775ru+22WzKPDwBKhczMrbfcXAIvAAQ68USi24oVK1w9b25urt15551JP0AAKC0YixcAAg68hdl7773tP//5D8OSAcB2IPACQIgDr2ja4cWLFydrcwBQ6hB4ASDkgXf69OlWv379ZG0OAEodAi8ABNxpbfXq1QmXq8Pa1KlT7aabbrLLLrssmccGAKUKgRcAAg68u+yyi5tZLREt79y5s912223JPDYAKFUIvAAQcEnD+PHj7ZNPPsl3++abb9zQZIMGDbJy5coV+wA0XXGDBg2sQoUK1rx5c5syZUqh62tf3bp1s1q1aln58uXdGMCjRo2KPn733Xe7AB57O+CAA4p9XACQagReAAi4hbdly5bbXOeHH36wgw8+uMg7Hz58uPXs2dOFZYXdAQMGWJs2bWzWrFm2xx575Ft/8+bN1rp1a/fYG2+84WZ9mz9/vmt9jnXQQQfZxx9/HL1flknpAewACLwA4I/tToJr1qyxV1991Z599llXy5uTk1Pk5/bv39+6dOlinTp1cvcVfD/44AMbMmRIwvIILf/rr79s0qRJlpWV5ZapdTieAm7NmjW36+cCgFQj8AJAyALvxIkT7bnnnrM333zTateubeecc44rTygqtdYqIN9+++3RZZmZmdaqVSubPHlywudoJjdNYayShnfeecd23313u+iii+xf//qXlYmZl/OXX35xx6QyCa3ft29fN2xaQTZt2uRu8R30srOz3c1vkX2kYl9A0DjfC1amjN6SM2zjxi2Wne0FfThIAs53lCbZKT7fi7OfYgVejbM7dOhQF3QVCv/v//7PBcWRI0dao0aNinWQy5cvd63BNWrUyLNc92fOnJnwOXPmzHF1wxdffLGr29UMb9dee637gXv37u3WUWmEjrFhw4a2aNEi69Onjx133HGu3GLnnXdOuF0FYq0XTxNpVKpUyVJl7NixKdsXEDTO9/w2bDjBzKrapElTbN26ZUEfDpKI8x2lydgUne/r168v8roZnucVqRmhbdu2rlX3jDPOcIHz1FNPda2qKi347rvvih14Fy5c6GpwVZ6gVtiIW2+91T799FP76quv8j1HHdQ2btzopjSOtOiqLKJfv34u3BbUyU3jA2u9K6+8ssgtvPXq1XOhvEqVKuY3BXadHKpPjpRqAOmK871gzZuXtf/9L8Pee2+LtWlDC2864HxHaZKd4vNdea169epuiNxt5bUit/B++OGHdv3111vXrl1tv/322+6D1AEqtC5ZsiTPct0vqP5WIzPoBYwtXzjwwANdy7NKJBKNEqEObQrKag0uiEZ70C2e9pXKN6hU7w8IEud7fv+8HGVjvkc64HxHaZKVovO9OPso8rBkn3/+ueug1rRpU1c28OSTT7oW0JJSONW2xo0bF12Wm5vr7se2+MY65phjXHDVehE///yzC8IFDYm2du1a+/XXX906ABBmdFoDAH8UOfAeddRRNnjwYFc6cPXVV9trr73mOoYpfKr5WmG4uDQkmbY5bNgwmzFjhms9XrduXXTUho4dO+bp1KbHNUpDjx49XNDViA4PPPCA68QWcfPNN7uSiHnz5rlyibPPPtu1CF944YXFPj4ASCUCLwCEZJSGypUr2xVXXOFuGi9XHdj+85//uGHEVLOhkRSKqkOHDrZs2TLr1auXK0to0qSJjR49OtqRbcGCBW7khgjV1X700Ud24403WuPGjV0NsMKvRmmI+P333124/fPPP90oDscee6x9+eWX7nsACDMCLwCEcBxejYTw0EMPuVEO3nvvPTdObnF1797d3RKZMGFCvmUqd1CALYhangFgR0TgBYCASxoKo5KB9u3bF6t1FwCQF4EXAEIceAEA24/ACwD+IPACQEgQeAHAHwReAAgJAi8A+IPACwAhQeAFAH8QeAEgJAi8AOAPAi8AhASBFwD8QeAFgJAg8AKAPwi8ABASBF4A8AeBFwBCgsALAP4g8AJASBB4AcAfBF4ACAkCLwD4g8ALACFB4AUAfxB4ASAkCLwA4A8CLwCEBIEXAPxB4AWAkCDwAoA/CLwAEBIEXgDwB4EXAEKCwAsA/iDwAkBIEHgBwB8EXgAICQIvAPiDwAsAIUHgBQB/EHgBICQIvADgDwIvAIQEgRcA/EHgBYCQIPACgD8IvAAQEgReAPAHgRcAQoLACwD+IPACQEgQeAHAHwReAAgJAi8A+IPACwAhQeAFAH8QeAEgJAi8AOAPAi8AhASBFwD8QeAFgJAg8AKAPwi8ABASBF4A8AeBFwBCgsALAP4g8AJASBB4AcAfBF4ACAkCLwD4g8ALACFB4AUAfxB4ASAkCLwA4A8CLwCEBIEXAPxB4AWAkCDwAoA/CLwAELLAm5Nj5nlBHw0ApA8CLwCELPBGQi8AIDkIvAAQwsBLWQMAJA+BFwBCgsALAP4g8AJASBB4AcAfBF4ACIkyZf75nsALAMlD4AWAkMjM3HoTAi8AJA+BFwBChLF4ASD5CLwAECIEXgBIPgIvAIQIgRcA0jDwDhw40Bo0aGAVKlSw5s2b25QpUwpdf+XKldatWzerVauWlS9f3vbff38bNWrUdm0TAMKCwAsAaRZ4hw8fbj179rTevXvbtGnT7NBDD7U2bdrY0qVLE66/efNma926tc2bN8/eeOMNmzVrlg0ePNjq1KlT4m0CQJgQeAEgzQJv//79rUuXLtapUydr1KiRDRo0yCpVqmRDhgxJuL6W//XXXzZy5Eg75phjXCtuy5YtXagt6TYBIEwIvACQfDHDnKeWWmunTp1qt99+e3RZZmamtWrVyiZPnpzwOe+++661aNHClTS88847tvvuu9tFF11k//rXv6xMmTIl2qZs2rTJ3SJWr17tvmZnZ7ub3yL7SMW+gKBxvheurEu8GbZx4xbLzvaCPhxsJ853lCbZKT7fi7OfwALv8uXLLScnx2rUqJFnue7PnDkz4XPmzJljn3zyiV188cWubnf27Nl27bXXuh9YJQwl2ab07dvX+vTpk2/5mDFjXOtwqowdOzZl+wKCxvme2KZNrcyssk2cOMmWLFkR9OEgSTjfUZqk6nxfv359+ANvSeTm5toee+xhzzzzjGvRbdq0qf3xxx/Wr18/F3hLSi3CqvuNbeGtV6+enXLKKValShXzmwK7Tg7VJ2dlZfm+PyBInO+Fq1KlrC1ZYtas2dF2zDG08O7oON9RmmSn+HyPXJEPdeCtXr26C61L9M4eQ/dr1qyZ8DkamUEvoJ4XceCBB9rixYtdOUNJtika7UG3eNpXKt+gUr0/IEic74n985KUjfkeOzrOd5QmWSk634uzj8A6rZUrV8610I4bNy5PC67uq043EXVUUxmD1ov4+eefXRDW9kqyTQAIEzqtAUCajdKgMgINKzZs2DCbMWOGde3a1datW+dGWJCOHTvm6YCmxzVKQ48ePVzQ/eCDD+yBBx5wndiKuk0ACDMCLwAkX6A1vB06dLBly5ZZr169XFlCkyZNbPTo0dFOZwsWLHCjLESorvajjz6yG2+80Ro3buzG31X41SgNRd0mAIQZgRcAki/wTmvdu3d3t0QmTJiQb5lKE7788ssSbxMAwozACwBpOLUwAOAfBF4ASD4CLwCECIEXAJKPwAsAIULgBYDkI/ACQIgQeAEg+Qi8ABAiBF4ASD4CLwCECIEXAJKPwAsAIULgBYDkI/ACQIgQeAEg+Qi8ABAiBF4ASD4CLwCECIEXAJKPwAsAIULgBYDkI/ACQAgDb3Z20EcCAOmDwAsAIUILLwAkH4EXAEKEwAsAyUfgBYAQIfACQPIReAEgRAi8AJB8BF4ACBECLwAkH4EXAEKEwAsAyUfgBYAQIfACQPIReAEgRAi8AJB8BF4ACBECLwAkH4EXAEKEwAsAyUfgBYAQIfACQPIReAEgRAi8AJB8BF4ACBECLwAkH4EXAEKEwAsAyUfgBYAQIfACQPIReAEgRAi8AJB8BF4ACBECLwAkH4EXAEKEwAsAyUfgBYAQIfACQPIReAEgRAi8AJB8BF4ACBECLwAkH4EXAEKEwAsAyUfgBYAQIfACQPIReAEgRAi8AJB8BF4ACBECLwAkH4EXAEKEwAsAyUfgBYAQIfACQPIReAEgRAi8AJB8BF4ACBECLwAkH4EXAEKEwAsAyUfgBYAQIfACQPIReAEghIE3N3frDQCw/Qi8ABDCwCs5OUEeCQCkDwIvAIQ08FLWAADJQeAFgBAh8AJA8hF4ASBEsrL++Z7ACwDJQeAFgBApU+af7wm8AJAcBF4ACJGMjH9CL4EXAJKDwAsAIcNYvACQhoF34MCB1qBBA6tQoYI1b97cpkyZUuC6Q4cOtYyMjDw3PS/W5Zdfnm+dU089NQU/CQBsPwIvACRXTH/gYAwfPtx69uxpgwYNcmF3wIAB1qZNG5s1a5btscceCZ9TpUoV93iEAm08Bdznn38+er98+fI+/QQAkFwEXgBIsxbe/v37W5cuXaxTp07WqFEjF3wrVapkQ4YMKfA5Crg1a9aM3mrUqJFvHQXc2HV23XVXn38SAEgOAi8ApFEL7+bNm23q1Kl2++23R5dlZmZaq1atbPLkyQU+b+3atVa/fn3Lzc21ww8/3B544AE76KCD8qwzYcIE10KsoHvSSSfZfffdZ9WqVUu4vU2bNrlbxOrVq93X7Oxsd/NbZB+p2BcQNM73bSvrEm+Gbdig96Cgjwbbg/MdpUl2is/34uwn0MC7fPlyy8nJyddCq/szZ85M+JyGDRu61t/GjRvbqlWr7OGHH7ajjz7afvzxR6tbt260nOGcc86xvfbay3799Ve744477LTTTnMhukzsmD9/69u3r/Xp0yff8jFjxrjW5lQZO3ZsyvYFBI3zvWBbtpxiZhXt00+/sN9+WxX04SAJON9RmoxN0fm+fv36Iq+b4XmeZwFZuHCh1alTxyZNmmQtWrSILr/11lvt008/ta+++qpI6f7AAw+0Cy+80O69996E68yZM8f22Wcf+/jjj+3kk08uUgtvvXr1XCBXvbDf9DPo5GjdurVlxY46D6Qhzvdt22+/sjZ/foZNmrTFjjgisLdoJAHnO0qT7BSf78pr1atXdw2g28prgbbw6iDV4rpkyZI8y3VfdbdFoRf0sMMOs9mzZxe4zt577+32pXUSBV7V+ybq1KZtp/INKtX7A4LE+V6U6YXL5pl5DTsuzneUJlkpOt+Ls49AO62VK1fOmjZtauPGjYsuU12u7se2+BZGJRHTp0+3WrVqFbjO77//bn/++Weh6wBAWNBpDQDSbJQGDUk2ePBgGzZsmM2YMcO6du1q69atc6M2SMeOHfN0arvnnntcba3KFKZNm2aXXHKJzZ8/3zp37hzt0HbLLbfYl19+afPmzXPhuV27drbvvvu64c4AIOwIvACQZuPwdujQwZYtW2a9evWyxYsXW5MmTWz06NHRjmwLFixwIzdErFixwg1jpnU1AoNaiFUDrCHNRCUS33//vQvQK1eutNq1a9spp5zi6nsZixfAjoDACwBpFnile/fu7paIhheL9eijj7pbQSpWrGgfffRR0o8RAFKFwAsAaVbSAADIi8ALAMlF4AWAkCHwAkByEXgBIGQIvACQXAReAAgZAi8AJBeBFwBChsALAMlF4AWAkCHwAkByEXgBIGQIvACQXAReAAgZAi8AJBeBFwBChsALAMlF4AWAkCHwAkByEXgBIGQIvACQXAReAAgZAi8AJBeBFwBChsALAMlF4AWAkCHwAkByEXgBIGQIvACQXAReAAgZAi8AJBeBFwBChsALAMlF4AWAkCHwAkByEXgBIGQIvACQXAReAAgZAi8AJBeBFwBChsALAMlF4AWAkCHwAkByEXgBIGQIvACQXAReAAgZAi8AJBeBFwBChsALAMlF4AWAkCHwAkByEXgBIGQIvACQXAReAAgZAi8AJBeBFwBChsALAMlF4AWAkCHwAkByEXgBIGQIvACQXAReAAgZAi8AJBeBFwBChsALAMlF4AWAkCHwAkByEXgBIGQIvACQXAReAAgZAi8AJBeBFwBChsALAMlF4AWAkCHwAkByEXgBIGQIvACQXAReAAgZAi8AJBeBFwBChsALAMlF4AWAkCHwAkByEXgBIGQIvACQXAReAAgZAi8AJBeBFwBChsALAMlF4AWAkAbe3NytNwDA9iHwAkBIA6/k5AR5JACQHgi8ABDiwEtZAwBsPwIvAIQMgRcAkivmbRUAEAYZGf98P2GC2emnm5Ups7W84bPPzBYtMqtVy+y447auE7+soHWLuzwZ2w7LNoI6vk8/zbCJE+tY5coZduKJvE7pso2wH19Q2/g0wfkeGl4IPPnkk179+vW98uXLe82aNfO++uqrAtd9/vnnPR127E3Pi5Wbm+vdddddXs2aNb0KFSp4J598svfzzz8X+XhWrVrltquvqbB582Zv5MiR7iuQ7jjfC/fmm55Xt67n6d05ctP9W27Jv7xata23oqxb3OXJ2HZYthH24wvLNsJ+fGHZRtiPLyzbqFt36/uZn4qT1wIPvK+99ppXrlw5b8iQId6PP/7odenSxdtll128JUuWFBh4q1Sp4i1atCh6W7x4cZ51/vOf/3hVq1Z1f1S/++4776yzzvL22msvb8OGDUU6JgIv4B/O94Lpj0NGRt4/Gty4ceO2I94yMrbe/Ay9xclrgdfw9u/f37p06WKdOnWyRo0a2aBBg6xSpUo2ZMiQAp+TkZFhNWvWjN5q1KgRfUwhfsCAAXbnnXdau3btrHHjxvbCCy/YwoULbeTIkSn6qQCgeHQ5sEePrX8qAGBH5/39XnbDDeEYbSbQGt7Nmzfb1KlT7fbbb48uy8zMtFatWtnkyZMLfN7atWutfv36lpuba4cffrg98MADdtBBB7nH5s6da4sXL3bbiKhatao1b97cbfOCCy7It71Nmza5W8Tq1avd1+zsbHfzW2QfqdgXEDTO98RU+/b773SrAJBeofe338zGj99iLVsm/9N8cf6OBPruunz5csvJycnTQiu6P3PmzITPadiwoWv9VcvtqlWr7OGHH7ajjz7afvzxR6tbt64Lu5FtxG8z8li8vn37Wp8+ffItHzNmjGttTpWxY8embF9A0Djf81JHD7Mjgj4MAEi6Dz/81tat+yPp212/fn2R193hmhNatGjhbhEKuwceeKA9/fTTdu+995Zom2ph7tmzZ54W3nr16tkpp5xiVapUMb/pE4r++Ldu3dqysrJ83x8QJM73xNSruX//oI8CAJLvtNOaWMuWhyZ9u5Er8qEPvNWrV7cyZcrYkiVL8izXfdXmFoX+YB522GE2e/Zsdz/yPG2jlsbLiNlmkyZNEm6jfPny7pZo26n8g5zq/QFB4nzPS0P41K1r9scf1PECSJ8hFuvW1ftbWV+GKCvO35BAO62VK1fOmjZtauPGjYsuU12u7se24hZGJRHTp0+Phtu99trLhd7YbeoTwFdffVXkbQJAqumPwWOP5R+HFwB2RBl/v48NGBCO8XgDH6VBpQSDBw+2YcOG2YwZM6xr1662bt06N2qDdOzYMU+ntnvuucfV1s6ZM8emTZtml1xyic2fP986d+4cHcHhhhtusPvuu8/effddF4a1jdq1a1v79u0D+zkBYFvOOcfsjTfM6qicN0a9ema33LK1pSRWtWpbb0VZt7jLk7HtsGwj7McXlm2E/fjCso2wH19YtlG37tb3M72vhUGGxiYL+iCefPJJ69evn+tUprKDxx9/3I2qICeccII1aNDAhg4d6u7feOON9tZbb7l1d911V9dCrHCrsoYI/Ui9e/e2Z555xlauXGnHHnusPfXUU7b//vsX6XjUIqyRHdQpLlU1vKNGjbLTTz+dS7xIe5zv28asUenzM6p3ujrsqIYxclmX12nH30bYjy+obYxPcL77qTh5LRSBN2wIvIB/ON9RmnC+ozTJTvH5Xpy8FnhJAwAAAOAnAi8AAADSGoEXAAAAaY3ACwAAgLRG4AUAAEBaI/ACAAAgrRF4AQAAkNYIvAAAAEhrBF4AAACkNQIvAAAA0hqBFwAAAGmNwAsAAIC0RuAFAABAWisb9AGEked57uvq1atTsr/s7Gxbv369219WVlZK9gkEhfMdpQnnO0qT7BSf75GcFslthSHwJrBmzRr3tV69ekEfCgAAALaR26pWrVrYKpbhFSUWlzK5ubm2cOFC23nnnS0jI6PQdY888kj7+uuvt7nNwtbTJxSF699++82qVKli6aqor9WOegzJ3HZJt1WS5xXnOUVZd1vrcL6nxzEka9vbsx3O9/DgfPd/O5zv+SnCKuzWrl3bMjMLr9KlhTcBvWh169Yt0rplypQp0i+1KOvp8XR+Qyzqa7WjHkMyt13SbZXkecV5TlHWLer2ON937GNI1ra3Zzuc7+HB+e7/djjfE9tWy24Enda2U7du3ZK6XjoLw2vg5zEkc9sl3VZJnlec5xRl3TD8nsMgDK/DjnC+b892ON/DIwyvA+f79j2nW5qf75Q0hIAuAegTyqpVqwL/hAz4jfMdpQnnO0qT1SE+32nhDYHy5ctb79693Vcg3XG+ozThfEdpUj7E5zstvAAAAEhrtPACAAAgrRF4AQAAkNYIvAAAAEhrBF4AAACkNQIvAAAA0hqBdwej6fpOOOEEa9SokTVu3NhGjBgR9CEBvjn77LNt1113tfPOOy/oQwGS7v3337eGDRvafvvtZ88++2zQhwOk9fs5w5LtYBYtWmRLliyxJk2a2OLFi61p06b2888/W+XKlYM+NCDpJkyY4OZJHzZsmL3xxhtBHw6QNFu2bHENF+PHj3cD9eu9fNKkSVatWrWgDw1Iy/dzWnh3MLVq1XJhV2rWrGnVq1e3v/76K+jDAnyhqxk777xz0IcBJN2UKVPsoIMOsjp16thOO+1kp512mo0ZMybowwLS9v2cwJtkEydOtLZt21rt2rUtIyPDRo4cmW+dgQMHWoMGDaxChQrWvHlz98ZXElOnTrWcnByrV69eEo4cCO+5DqTb+b9w4UIXdiP0/R9//JGy4wdK2/s9gTfJ1q1bZ4ceeqj7xScyfPhw69mzp5t6b9q0aW7dNm3a2NKlS6PrqAX34IMPznfTG2SEWnU7duxozzzzTEp+LiCocx1I1/Mf2FGsS4fzXTW88Ide3rfffjvPsmbNmnndunWL3s/JyfFq167t9e3bt8jb3bhxo3fcccd5L7zwQlKPFwjbuS7jx4/3zj333KQdKxCG8/+LL77w2rdvH328R48e3ssvv5zCowZS/34f5Ps5LbwptHnzZleG0KpVq+iyzMxMd3/y5MlF2obOtcsvv9xOOukku/TSS308WiDYcx1I5/O/WbNm9sMPP7gyhrVr19qHH37oWsSAHc3mHeT9nsCbQsuXL3c1tzVq1MizXPc14kJRfPHFF+7SgepndDlYt+nTp/t0xEBw57roDfP888+3UaNGWd26dUP15glsz/lftmxZe+SRR+zEE0907+M33XQTIzQgrd/vWwX8fl42pXvDdjv22GMtNzc36MMAUuLjjz8O+hAA35x11lnuBpQGHwf8fk4LbwppCLEyZcq4cXRj6b6GGAPSBec6SjPOf5Qm1XeQ853Am0LlypVzg4uPGzcuukyttbrfokWLQI8NSCbOdZRmnP8oTcrtIOc7JQ1Jps4Hs2fPjt6fO3euffvtt7bbbrvZnnvu6YbtuOyyy+yII45wnRYGDBjghvvo1KlToMcNFBfnOkozzn+UJmvT4XwPZGyINKYhN/Syxt8uu+yy6DpPPPGEt+eee3rlypVzQ3l8+eWXgR4zUBKc6yjNOP9RmoxPg/M9Q/8EHboBAAAAv1DDCwAAgLRG4AUAAEBaI/ACAAAgrRF4AQAAkNYIvAAAAEhrBF4AAACkNQIvAAAA0hqBFwAAAGmNwAsApUyDBg3c1J/FlZGRYSNHjvTlmADATwReAAjQ5Zdfbu3btw/6MAAgrRF4AQAAkNYIvAAQUv3797dDDjnEKleubPXq1bNrr73W1q5dG3186NChtssuu9j7779vDRs2tEqVKtl5551n69evt2HDhrnShV133dWuv/56y8nJybPtNWvW2IUXXui2XadOHRs4cGCex3/55Rc7/vjjrUKFCtaoUSMbO3ZsvuP717/+Zfvvv7/b795772133XWXZWdn+/iKAEDJlC3h8wAAPsvMzLTHH3/c9tprL5szZ44LvLfeeqs99dRT0XUUbrXOa6+95kLsOeecY2effbYLwqNGjXLPO/fcc+2YY46xDh06RJ/Xr18/u+OOO6xPnz720UcfWY8ePVx4bd26teXm5rrt1KhRw7766itbtWqV3XDDDfmOb+edd3ahu3bt2jZ9+nTr0qWLW6ZjBIAwyfA8zwv6IACgNNfwrly5skidwd544w275pprbPny5e6+wmanTp1s9uzZts8++7hlevzFF1+0JUuW2E477eSWnXrqqa61d9CgQe6+vj/wwAPtww8/jG77ggsusNWrV7uQPGbMGDvjjDNs/vz5LszK6NGj7bTTTrO33367wJrjhx9+2AXvb775JgmvDAAkDy28ABBSH3/8sfXt29dmzpzpwuiWLVts48aNrlVXZQSir5GwK2qVVaCNhN3IsqVLl+bZdosWLfLdj4zcMGPGDFdCEQm7idaX4cOHu9blX3/91ZVa6PiqVKmSxFcAAJKDGl4ACKF58+bZmWeeaY0bN7Y333zTpk6dGq2z3bx5c3S9rKysfEOHJVqmMoVkmjx5sl188cV2+umnuxri//3vf/bvf/87z7EBQFjQwgsAIaSAq5D6yCOPuFpeef3115O2/S+//DLffZU5iL7+9ttvtmjRIqtVq1bC9SdNmmT169d3ITdCJRAAEEYEXgAImDqFffvtt3mWVa9e3Y148MQTT1jbtm3tiy++iNbgJoO299BDD7l6XI3AMGLECPvggw/cY61atXId2C677DLXuU3lFLHBVvbbbz9bsGCBq9k98sgj3XNV3wsAYURJAwAEbMKECXbYYYfluanjmYYle/DBB+3ggw+2l19+2dXzJstNN93kOpdpX/fdd5/bV5s2bdxjalFWeN2wYYM1a9bMOnfubPfff3+e55911ll24403Wvfu3a1JkyauxVfDkgFAGDFKAwAAANIaLbwAAABIawReAAAApDUCLwAAANIagRcAAABpjcALAACAtEbgBQAAQFoj8AIAACCtEXgBAACQ1gi8AAAASGsEXgAAAKQ1Ai8AAADSGoEXAAAAls7+H2gyfp5vnhn2AAAAAElFTkSuQmCC", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Coefficients: [0.0265547 1.07827536 0.48434236 0. 0.21617361 0.17613676\n", - " 0.06033601 0.21058108 0. 0.09924649 0.02375587]\n", - "\n", - "\u001b[96m\u001b[4mAUC ROC\u001b[0m: 0.7974638487208008\n", - "\n", - "\u001b[96m\u001b[4mBalanced accuracy\u001b[0m: 0.7380422691879867\n", - "\n", - "Accuracy: 0.7367\n", - "\n", - "Classification Report:\n", - " precision recall f1-score support\n", - "\n", - " 0 0.77 0.70 0.73 155\n", - " 1 0.71 0.78 0.74 145\n", - "\n", - " accuracy 0.74 300\n", - " macro avg 0.74 0.74 0.74 300\n", - "weighted avg 0.74 0.74 0.74 300\n", - "\n", - "\n", - "Confusion Matrix:\n" - ] - }, - { - "data": { - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig = model_ccd.plot(X_valid, y_valid, measure=aucroc)\n", - "fig.savefig(os.path.join(results_dir, 'logregccd_aucroc.pdf'), format='pdf', bbox_inches='tight')\n", - "plt.show(fig)\n", - "model_ccd.validate(X_valid, y_valid, measure=aucroc)\n", - "test_model(model_ccd, X_test, y_test, os.path.join(results_dir, 'logregccd_aucroc_metrics.txt'))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Balanced Accuracy" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Coefficients: [0.01399746 0.84319779 0.31656928 0. 0.06264556 0.03099713\n", - " 0. 0.02487077 0. 0. 0. ]\n", - "\n", - "\u001b[96m\u001b[4mAUC ROC\u001b[0m: 0.7858954393770856\n", - "\n", - "\u001b[96m\u001b[4mBalanced accuracy\u001b[0m: 0.7150166852057842\n", - "\n", - "Accuracy: 0.7133\n", - "\n", - "Classification Report:\n", - " precision recall f1-score support\n", - "\n", - " 0 0.75 0.66 0.71 155\n", - " 1 0.68 0.77 0.72 145\n", - "\n", - " accuracy 0.71 300\n", - " macro avg 0.72 0.72 0.71 300\n", - "weighted avg 0.72 0.71 0.71 300\n", - "\n", - "\n", - "Confusion Matrix:\n" - ] - }, - { - "data": { - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig = model_ccd.plot(X_valid, y_valid, measure=ba)\n", - "fig.savefig(os.path.join(results_dir, 'logregccd_ba.pdf'), format='pdf', bbox_inches='tight')\n", - "plt.show(fig)\n", - "model_ccd.validate(X_valid, y_valid, measure=ba)\n", - "test_model(model_ccd, X_test, y_test, os.path.join(results_dir, 'logregccd_ba_metrics.txt'))" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.13.0" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/notebooks/experiments/synthetic_data/results/auc_roc_comparison.png b/notebooks/experiments/synthetic_data/results/auc_roc_comparison.png new 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zSb1r85`#;wI#e8))i}yOL>p}ygKnbI(Ad7)(Xb%W!Z>`fHmSNaBcvJFKmbcQcJV0t zJ(e^{Icpk5Y=U1A|Ne^wp3P90U6jvAhmOL*0>4$bT}gJP0-CYJ{L^TlmLn~FVS3Oq zwUk#T1F!Y;5iqwt`JYX)5lhVVC*8)7@1K> zqjJ{@yQYO%X&I$S&nS|^QOmb`gXzI+1s#C{4b%+`7|F`M zM~~PGZoUU^zY-h7oJVD3+q0^jKP>Jmy`KCZd<6q%dQDFMJh}Go`}z0&4|8nFa(^}O z*BP6C1Ap5=uOa$BCT@NO{yKN?C$!~NN&Yg0@GJPQZQMVh06^($r|$o5>i%ly*WTWr zmX=>zH~&|s?^i3omZko*0>t{qBGs=3e$~)_8h9l9-N2uU`d8?$n&VF>4Cx=xUlqu& z7XF$v|HK0T;bZ{7-%{wW@V~~q|AfQ7HcbCN{9h4JSq|#;b^!qR*N^{el>A2h+qeG* DRZW%Y literal 0 HcmV?d00001 diff --git a/notebooks/experiments/synthetic_data/synthetic_data.ipynb b/notebooks/experiments/synthetic_data/synthetic_data.ipynb new file mode 100644 index 0000000..83ce60f --- /dev/null +++ b/notebooks/experiments/synthetic_data/synthetic_data.ipynb @@ -0,0 +1,519 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Logistic Regression vs LogRegCCD on Synthetic Data" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "if not os.path.exists(\"./notebooks\"):\n", + " %cd ..\n", + " %cd ..\n", + "\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import json\n", + "import pickle\n", + "import pandas as pd\n", + "from dataclasses import dataclass\n", + "from sklearn.linear_model import LogisticRegression\n", + "from sklearn.preprocessing import StandardScaler\n", + "from sklearn.metrics import confusion_matrix, classification_report, accuracy_score, ConfusionMatrixDisplay\n", + "from src.log_reg_ccd import LogRegCCD\n", + "from src.data.data_loader import SyntheticDataLoader\n", + "from src.data.dataset_interface import DataInterface\n", + "import src.measures as measure" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## User specified variables" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "random_seed = 42\n", + "chosen_experiment = 'Default' # Chosen experiment title - check under Experiments params section\n", + "run_analyses = True # wheter to run parameters analyses\n", + "results_dir = 'results' # If not None - directory to save te analyses plots" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Utils" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@dataclass\n", + "class ExperimentParams:\n", + " title: str\n", + " n: int\n", + " p: float\n", + " d: int\n", + " g: float\n", + " eps: float = 1e-3\n", + " lam_max: float = 10.0\n", + " lam_count: int = 100\n", + " k_fold: int = 10" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "class color:\n", + " PURPLE = '\\033[95m'\n", + " CYAN = '\\033[96m'\n", + " DARKCYAN = '\\033[36m'\n", + " BLUE = '\\033[94m'\n", + " GREEN = '\\033[92m'\n", + " YELLOW = '\\033[93m'\n", + " RED = '\\033[91m'\n", + " BOLD = '\\033[1m'\n", + " UNDERLINE = '\\033[4m'\n", + " END = '\\033[0m'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "DEFAULT_N = 1000\n", + "DEFAULT_P = 0.5\n", + "DEFAULT_D = 50\n", + "DEFAULT_G = 0" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "aucroc = measure.AUCROC()\n", + "ba = measure.BalancedAccuracy()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Experiments params" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "experiments = [\n", + " \n", + " ExperimentParams(title='Default', n=DEFAULT_N, p=DEFAULT_P, d=DEFAULT_D, g=DEFAULT_G),\n", + "\n", + " ExperimentParams(title='Few samples', n=100, p=DEFAULT_P, d=DEFAULT_D, g=DEFAULT_G),\n", + " ExperimentParams(title='Lots of samples', n=10000, p=DEFAULT_P, d=DEFAULT_D, g=DEFAULT_G),\n", + "\n", + " ExperimentParams(title='Slightly imbalanced', n=DEFAULT_N, p=0.3, d=DEFAULT_D, g=DEFAULT_G),\n", + " ExperimentParams(title='Highly impalanced', n=DEFAULT_N, p=0.1, d=DEFAULT_D, g=DEFAULT_G),\n", + "\n", + " ExperimentParams(title='Few features', n=DEFAULT_N, p=DEFAULT_P, d=10, g=DEFAULT_G),\n", + " ExperimentParams(title='Lots of features', n=DEFAULT_N, p=DEFAULT_P, d=500, g=DEFAULT_G),\n", + " ExperimentParams(title='More features than samples', n=DEFAULT_N, p=DEFAULT_P, d=1500, g=DEFAULT_G),\n", + "\n", + " ExperimentParams(title='Weak correlation', n=DEFAULT_N, p=DEFAULT_P, d=DEFAULT_D, g=0.1),\n", + " ExperimentParams(title='Moderate correlation', n=DEFAULT_N, p=DEFAULT_P, d=DEFAULT_D, g=0.5),\n", + " ExperimentParams(title='Strong correlation', n=DEFAULT_N, p=DEFAULT_P, d=DEFAULT_D, g=0.8),\n", + "\n", + " ExperimentParams(title='Moderate correlation, lots of features', n=DEFAULT_N, p=DEFAULT_P, d=500, g=0.5),\n", + " ExperimentParams(title='Strong correlation, lots of features', n=DEFAULT_N, p=DEFAULT_P, d=500, g=0.8),\n", + "]\n", + "\n", + "experiment = next(exp for exp in experiments if exp.title == chosen_experiment)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Helpers functions" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def test_model(model, X, y, save_path=None, ccd=True, pr=True):\n", + " \"\"\" Evaluate model according to chosen metrics\"\"\"\n", + "\n", + " results = {}\n", + "\n", + " y_pred = model.predict(X)\n", + " if ccd:\n", + " y_pred_proba = model.predict_proba(X)\n", + " results['coefficients'] = model.best_beta\n", + " else:\n", + " y_pred_proba = model.predict_proba(X)[:,1]\n", + " results['coefficients'] = np.concatenate((model.intercept_, model.coef_[0]))\n", + "\n", + " results['accuracy'] = accuracy_score(y, y_pred)\n", + " results['auc_roc'] = aucroc(y, y_pred_proba)\n", + " results['balanced_accuracy'] = ba(y, y_pred)\n", + "\n", + " if pr:\n", + " print(f\"\\nCoefficients: {results['coefficients']}\")\n", + " print(f\"\\n{color.CYAN}{color.UNDERLINE}{aucroc}{color.END}: {results['auc_roc']}\")\n", + " print(f\"\\n{color.CYAN}{color.UNDERLINE}{ba}{color.END}: {results['balanced_accuracy']}\")\n", + " print(f\"\\nAccuracy: {results['accuracy']:.4f}\")\n", + "\n", + " if save_path:\n", + " with open(save_path, 'w') as f:\n", + " f.write(\"=\"*50 + \"\\n\")\n", + " f.write(\"MODEL EVALUATION RESULTS\\n\")\n", + " f.write(\"=\"*50 + \"\\n\\n\")\n", + " \n", + " f.write(\"COEFFICIENTS:\\n\")\n", + " f.write(str(results['coefficients']) + \"\\n\\n\")\n", + " \n", + " if 'auc_roc' in results:\n", + " f.write(f\"AUC-ROC SCORE: {results['auc_roc']:.4f}\\n\\n\")\n", + " \n", + " if 'balanced_accuracy' in results:\n", + " f.write(f\"BALANCED ACCURACY: {results['balanced_accuracy']:.4f}\\n\\n\")\n", + " \n", + " f.write(f\"ACCURACY: {results['accuracy']:.4f}\\n\\n\")\n", + " \n", + " f.write(\"=\"*50 + \"\\n\")\n", + " \n", + " plot_path = str(save_path).replace('.txt', '_confusion_matrix.pdf')\n", + " plt.savefig(plot_path, format='pdf', bbox_inches='tight')\n", + " \n", + " plt.show()\n", + "\n", + " return results" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def ex(experiment):\n", + " \"\"\"Method to run single experiment.\"\"\"\n", + "\n", + " di = DataInterface(SyntheticDataLoader(experiment.p, experiment.n, experiment.d, experiment.g, random_seed))\n", + " di.split_data(val_size=0.2, test_size=0.3)\n", + " data = di.get_data()\n", + " X_train, y_train = data['train_data'], data['train_labels']\n", + " X_valid, y_valid = data['val_data'], data['val_labels']\n", + " X_test, y_test = data['test_data'], data['test_labels']\n", + "\n", + " scaler = StandardScaler()\n", + " scaler.fit(X_train)\n", + " X_train = scaler.transform(X_train)\n", + " X_test = scaler.transform(X_test)\n", + "\n", + " model = LogisticRegression(penalty=None)\n", + " model.fit(X_train, y_train)\n", + " results_lr = test_model(model, X_test, y_test, ccd=False, pr=False)\n", + "\n", + " model_ccd = LogRegCCD(verbose=False)\n", + " model_ccd.fit(X_train, y_train, experiment.eps, experiment.lam_max, experiment.lam_count, experiment.k_fold)\n", + " results_ccd = test_model(model_ccd, X_test, y_test, pr=False)\n", + "\n", + " model_ccd.validate(X_valid, y_valid, measure=aucroc)\n", + " result_ccd_auc_roc = test_model(model_ccd, X_test, y_test, pr=False)\n", + "\n", + " model_ccd.validate(X_valid, y_valid, measure=ba)\n", + " results_ccd_ba = test_model(model_ccd, X_test, y_test, pr=False)\n", + "\n", + " return {\n", + " 'results_lr': results_lr,\n", + " 'results_ccd': results_ccd,\n", + " 'result_ccd_auc_roc': result_ccd_auc_roc,\n", + " 'results_ccd_ba': results_ccd_ba\n", + " }\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def run_variable_experiments(variable_name, variable_values):\n", + " \"\"\"Method to run anylysis regarding chosen variable.\"\"\"\n", + "\n", + " results = []\n", + " for value in variable_values:\n", + " if variable_name == 'n':\n", + " exp = ExperimentParams(title=f'n_{value}', n=value, p=DEFAULT_P, d=DEFAULT_D, g=DEFAULT_G)\n", + " elif variable_name == 'p':\n", + " exp = ExperimentParams(title=f'p_{value}', n=DEFAULT_N, p=value, d=DEFAULT_D, g=DEFAULT_G)\n", + " elif variable_name == 'd':\n", + " exp = ExperimentParams(title=f'd_{value}', n=DEFAULT_N, p=DEFAULT_P, d=value, g=DEFAULT_G)\n", + " elif variable_name == 'g':\n", + " exp = ExperimentParams(title=f'g_{value}', n=DEFAULT_N, p=DEFAULT_P, d=DEFAULT_D, g=value)\n", + " \n", + " ex_result = ex(exp)\n", + " results.append({\n", + " 'variable': variable_name,\n", + " 'value': value,\n", + " 'results_lr': ex_result['results_lr'],\n", + " 'results_ccd': ex_result['results_ccd'],\n", + " 'result_ccd_auc_roc': ex_result['result_ccd_auc_roc'],\n", + " 'results_ccd_ba': ex_result['results_ccd_ba']\n", + " })\n", + " return results" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_results(variable_results, metric='auc_roc'):\n", + " \"\"\"Method to plot synthetic data parameters influence analysis\"\"\"\n", + "\n", + " fig, axes = plt.subplots(2, 2, figsize=(15, 10))\n", + " axes = axes.flatten()\n", + " \n", + " variables = ['n', 'p', 'd', 'g']\n", + " titles = ['Varying n (samples)', 'Varying p (class balance)', 'Varying d (features)', 'Varying g (correlation)']\n", + " \n", + " for i, var in enumerate(variables):\n", + " ax = axes[i]\n", + " var_data = [r for r in variable_results if r['variable'] == var]\n", + " \n", + " x = [d['value'] for d in var_data]\n", + " y_lr = [d['results_lr'][metric] for d in var_data]\n", + " y_ccd = [d['results_ccd'][metric] for d in var_data]\n", + " y_auc_ccd = [d['result_ccd_auc_roc'][metric] for d in var_data]\n", + " y_ba_ccd = [d['results_ccd_ba'][metric] for d in var_data]\n", + "\n", + " ax.plot(x, y_lr, label='Logistic Regression', marker='o')\n", + " ax.plot(x, y_ccd, label='CCD', marker='s')\n", + " ax.plot(x, y_auc_ccd, label='AUC ROC CCD', marker='s')\n", + " ax.plot(x, y_ba_ccd, label='BA CCD', marker='s')\n", + " ax.set_title(titles[i])\n", + " ax.set_xlabel(var)\n", + " ax.set_ylabel(metric)\n", + " ax.legend()\n", + " ax.grid(True)\n", + " \n", + " plt.tight_layout()\n", + " return fig" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Synthetic data parameters influence analyses" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Experiments ranges" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "n_values = np.linspace(100, 10000, num=2, dtype=int) \n", + "p_values = np.linspace(0.1, 0.9, num=2)\n", + "d_values = np.linspace(10, 500, num=2, dtype=int)\n", + "g_values = np.linspace(0, 0.9, num=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Analyses run" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "if run_analyses:\n", + " all_results = []\n", + " all_results.extend(run_variable_experiments('n', n_values))\n", + " all_results.extend(run_variable_experiments('p', p_values))\n", + " all_results.extend(run_variable_experiments('d', d_values))\n", + " all_results.extend(run_variable_experiments('g', g_values))\n", + "\n", + " fig_auc = plot_results(all_results, metric='auc_roc')\n", + " fig_ba = plot_results(all_results, metric='balanced_accuracy')\n", + "\n", + " if results_dir:\n", + " os.makedirs(results_dir, exist_ok=True)\n", + " fig_auc.savefig(os.path.join(results_dir, 'auc_roc_comparison.png'), bbox_inches='tight')\n", + " fig_ba.savefig(os.path.join(results_dir, 'balanced_accuracy_comparison.png'), bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Chosen experiment" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Data loading" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "di = DataInterface(SyntheticDataLoader(experiment.p, experiment.n, experiment.d, experiment.g, random_seed))\n", + "di.split_data(val_size=0.2, test_size=0.3)\n", + "data = di.get_data()\n", + "X_train, y_train = data['train_data'], data['train_labels']\n", + "X_valid, y_valid = data['val_data'], data['val_labels']\n", + "X_test, y_test = data['test_data'], data['test_labels']\n", + "\n", + "scaler = StandardScaler()\n", + "scaler.fit(X_train)\n", + "X_train = scaler.transform(X_train)\n", + "X_test = scaler.transform(X_test)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## LogisticRegression" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "model = LogisticRegression(penalty=None)\n", + "model.fit(X_train, y_train)\n", + "_ = test_model(model, X_test, y_test, ccd=False, pr=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## LogRegCCD" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "model_ccd = LogRegCCD(verbose=False)\n", + "model_ccd.fit(X_train, y_train, experiment.eps, experiment.lam_max, experiment.lam_count, experiment.k_fold)\n", + "_ = test_model(model_ccd, X_test, y_test, pr=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### AUC ROC" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "model_ccd.plot(X_valid, y_valid, measure=aucroc)\n", + "_ = model_ccd.validate(X_valid, y_valid, measure=aucroc)\n", + "_ = test_model(model_ccd, X_test, y_test, pr=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Balanced Accuracy" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "model_ccd.plot(X_valid, y_valid, measure=ba)\n", + "_ = model_ccd.validate(X_valid, y_valid, measure=ba)\n", + "_ = test_model(model_ccd, X_test, y_test, pr=True)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.0" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/results/synthetic_data/Default/logregccd_aucroc.pdf b/results/synthetic_data/Default/logregccd_aucroc.pdf deleted file mode 100644 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features/logregccd_aucroc_metrics.txt b/results/synthetic_data/Few features/logregccd_aucroc_metrics.txt deleted file mode 100644 index c4b05e7..0000000 --- a/results/synthetic_data/Few features/logregccd_aucroc_metrics.txt +++ /dev/null @@ -1,29 +0,0 @@ -================================================== -MODEL EVALUATION RESULTS -================================================== - -COEFFICIENTS: -[0.02385889 0.92885502 0.18421207 0.23988138 0.12658784 0.25764673] - -AUC-ROC SCORE: 0.7678 - -BALANCED ACCURACY: 0.6962 - -ACCURACY: 0.6967 - -CLASSIFICATION REPORT: - precision recall f1-score support - - 0 0.71 0.71 0.71 155 - 1 0.69 0.68 0.69 145 - - accuracy 0.70 300 - macro avg 0.70 0.70 0.70 300 -weighted avg 0.70 0.70 0.70 300 - - -CONFUSION MATRIX: -110 45 -46 99 - -================================================== diff --git a/results/synthetic_data/Few features/logregccd_aucroc_metrics_confusion_matrix.pdf b/results/synthetic_data/Few 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features/logregccd_ba_metrics.txt +++ /dev/null @@ -1,29 +0,0 @@ -================================================== -MODEL EVALUATION RESULTS -================================================== - -COEFFICIENTS: -[0.01453419 0.22709747 0. 0. 0. 0. ] - -AUC-ROC SCORE: 0.7353 - -BALANCED ACCURACY: 0.6702 - -ACCURACY: 0.6700 - -CLASSIFICATION REPORT: - precision recall f1-score support - - 0 0.69 0.66 0.68 155 - 1 0.65 0.68 0.66 145 - - accuracy 0.67 300 - macro avg 0.67 0.67 0.67 300 -weighted avg 0.67 0.67 0.67 300 - - -CONFUSION MATRIX: -103 52 -47 98 - -================================================== diff --git a/results/synthetic_data/Few features/logregccd_ba_metrics_confusion_matrix.pdf b/results/synthetic_data/Few features/logregccd_ba_metrics_confusion_matrix.pdf deleted file mode 100644 index b8586c27ea9c3e016c1e467c3791b1fd8d5dacbf..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 13019 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a/results/synthetic_data/Few features/logregccd_metrics.txt b/results/synthetic_data/Few features/logregccd_metrics.txt deleted file mode 100644 index 830bad1..0000000 --- a/results/synthetic_data/Few features/logregccd_metrics.txt +++ /dev/null @@ -1,29 +0,0 @@ -================================================== -MODEL EVALUATION RESULTS -================================================== - -COEFFICIENTS: -[0.02457398 0.95765185 0.20134463 0.25886715 0.14381683 0.2770184 ] - -AUC-ROC SCORE: 0.7685 - -BALANCED ACCURACY: 0.6962 - -ACCURACY: 0.6967 - -CLASSIFICATION REPORT: - precision recall f1-score support - - 0 0.71 0.71 0.71 155 - 1 0.69 0.68 0.69 145 - - accuracy 0.70 300 - macro avg 0.70 0.70 0.70 300 -weighted avg 0.70 0.70 0.70 300 - - -CONFUSION MATRIX: -110 45 -46 99 - -================================================== diff --git a/results/synthetic_data/Few features/logregccd_metrics_confusion_matrix.pdf b/results/synthetic_data/Few 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0.09647314 0. 0. - 0. 0. 0.00700906 0. 0.12577345 0. - 0. 0.0484194 0.01008274 0. 0. 0. - 0. 0. -0. 0.0291757 0. 0. - 0. -0. -0. 0. 0. 0.01310082 - -0. 0. 0. -0. -0. 0. - 0. -0. 0. 0. 0. -0. - -0. 0. 0. 0. 0. -0. - 0. -0. -0. 0. -0. 0. - -0. -0. 0. 0. 0. -0. - -0. 0. 0. 0. 0. 0. - 0. 0. 0. 0. -0. 0. - -0. -0. 0. 0. -0. -0. - 0. 0. 0. 0. -0. -0. - -0. -0. -0. 0. -0. -0. - -0. 0. 0. 0. 0. -0. - -0. -0. 0. 0. 0. ] - -AUC-ROC SCORE: 0.7811 - -BALANCED ACCURACY: 0.6902 - -ACCURACY: 0.6900 - -CLASSIFICATION REPORT: - precision recall f1-score support - - 0 0.71 0.68 0.70 155 - 1 0.67 0.70 0.68 145 - - accuracy 0.69 300 - macro avg 0.69 0.69 0.69 300 -weighted avg 0.69 0.69 0.69 300 - - -CONFUSION MATRIX: -106 49 -44 101 - -================================================== diff --git a/results/synthetic_data/Lots of features/logregccd_aucroc_metrics_confusion_matrix.pdf b/results/synthetic_data/Lots of features/logregccd_aucroc_metrics_confusion_matrix.pdf deleted file mode 100644 index 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1.13306997e-02 0.00000000e+00 - -0.00000000e+00 1.93301314e-01 5.27043149e-02 0.00000000e+00 - 0.00000000e+00 -4.70029788e-02 -1.56650646e-02 3.48788932e-02 - 0.00000000e+00 1.66627477e-01 -6.52287735e-03 0.00000000e+00 - 0.00000000e+00 -0.00000000e+00 -6.35977343e-02 7.62675843e-02 - 1.84585565e-02 -1.73827663e-01 3.88358916e-02 3.66035934e-02 - -0.00000000e+00 -1.14160904e-01 -2.78560677e-02 0.00000000e+00 - 1.19746848e-02 5.25468039e-02 5.25689751e-02 -0.00000000e+00 - 0.00000000e+00 -1.21306746e-01 -0.00000000e+00 0.00000000e+00 - -0.00000000e+00 0.00000000e+00 -1.33589252e-02 -0.00000000e+00 - 0.00000000e+00 1.38094369e-01 0.00000000e+00 -0.00000000e+00 - -0.00000000e+00 1.00415095e-01 1.28853665e-01 -0.00000000e+00 - 4.75976370e-02 -0.00000000e+00 1.48193662e-01 1.22342576e-01 - -0.00000000e+00 0.00000000e+00 -0.00000000e+00 1.34477556e-01 - -0.00000000e+00 -0.00000000e+00 0.00000000e+00 2.71025714e-03 - 0.00000000e+00 -1.36664369e-01 0.00000000e+00 5.91548832e-02 - 1.77304213e-02 5.87461606e-03 -9.44174739e-02 -0.00000000e+00 - -9.61825282e-02 0.00000000e+00 0.00000000e+00 6.69075543e-03 - 0.00000000e+00 -0.00000000e+00 -1.30768411e-04 0.00000000e+00 - 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 - -8.44880223e-02 -0.00000000e+00 6.62971431e-03 -0.00000000e+00 - 2.07755757e-02] - -AUC-ROC SCORE: 0.7763 - -BALANCED ACCURACY: 0.6909 - -ACCURACY: 0.6900 - -CLASSIFICATION REPORT: - precision recall f1-score support - - 0 0.72 0.66 0.69 155 - 1 0.67 0.72 0.69 145 - - accuracy 0.69 300 - macro avg 0.69 0.69 0.69 300 -weighted avg 0.69 0.69 0.69 300 - - -CONFUSION MATRIX: -103 52 -41 104 - -================================================== diff --git a/results/synthetic_data/Lots of features/logregccd_metrics_confusion_matrix.pdf b/results/synthetic_data/Lots of features/logregccd_metrics_confusion_matrix.pdf deleted file mode 100644 index 2189d8192042c2d28f3415561ee87d609fe0d191..0000000000000000000000000000000000000000 GIT binary patch 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6.73237427e-02 3.09566920e-02 8.92066843e-02 - 9.82210702e-03 -5.83350846e-02 -1.08078448e-01 -3.68187935e-02 - -2.20631495e-02 9.13974740e-03 1.26500453e-01 1.07402060e-01 - -1.87399663e-01 -6.58984400e-02 1.53515396e-01 -2.72763253e-02 - 9.90958570e-02] - -AUC-ROC SCORE: 0.7519 - -BALANCED ACCURACY: 0.6610 - -ACCURACY: 0.6600 - -CLASSIFICATION REPORT: - precision recall f1-score support - - 0 0.69 0.63 0.66 155 - 1 0.64 0.69 0.66 145 - - accuracy 0.66 300 - macro avg 0.66 0.66 0.66 300 -weighted avg 0.66 0.66 0.66 300 - - -CONFUSION MATRIX: -98 57 -45 100 - -================================================== diff --git a/results/synthetic_data/Lots of features/sklearn_metrics_confusion_matrix.pdf b/results/synthetic_data/Lots of features/sklearn_metrics_confusion_matrix.pdf deleted file mode 100644 index 29c0d5fe67bac218013aa487e8ea3880003dc4d5..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 12211 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F{{x+*PPhO7 diff --git a/results/synthetic_data/Moderate correlation/logregccd_ba_metrics.txt b/results/synthetic_data/Moderate correlation/logregccd_ba_metrics.txt deleted file mode 100644 index 4f81014..0000000 --- a/results/synthetic_data/Moderate correlation/logregccd_ba_metrics.txt +++ /dev/null @@ -1,31 +0,0 @@ -================================================== -MODEL EVALUATION RESULTS -================================================== - -COEFFICIENTS: -[ 219.43915029 21214.75633254 4633.41584307 915.91210766 - 2398.28624986 -0. -6458.6704387 -6749.5058288 - -10690.72349114 -1895.88637867 -12019.62163546] - -AUC-ROC SCORE: 0.5962 - -BALANCED ACCURACY: 0.5942 - -ACCURACY: 0.5933 - -CLASSIFICATION REPORT: - precision recall f1-score support - - 0 0.62 0.57 0.59 155 - 1 0.57 0.62 0.60 145 - - accuracy 0.59 300 - macro avg 0.59 0.59 0.59 300 -weighted avg 0.60 0.59 0.59 300 - - -CONFUSION MATRIX: -88 67 -55 90 - -================================================== diff --git 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a/results/synthetic_data/Slightly imbalanced/logregccd_aucroc_metrics.txt +++ /dev/null @@ -1,30 +0,0 @@ -================================================== -MODEL EVALUATION RESULTS -================================================== - -COEFFICIENTS: -[-1.15516668 1.00386163 0.52155206 0.10521821 0.02315696 0.13648245 - 0.06691901 0.08005991 0.00759751 0. 0.15877376] - -AUC-ROC SCORE: 0.7991 - -BALANCED ACCURACY: 0.6329 - -ACCURACY: 0.7467 - -CLASSIFICATION REPORT: - precision recall f1-score support - - 0 0.80 0.87 0.84 221 - 1 0.53 0.39 0.45 79 - - accuracy 0.75 300 - macro avg 0.66 0.63 0.64 300 -weighted avg 0.73 0.75 0.73 300 - - -CONFUSION MATRIX: -193 28 -48 31 - -================================================== diff --git a/results/synthetic_data/Slightly imbalanced/logregccd_aucroc_metrics_confusion_matrix.pdf b/results/synthetic_data/Slightly imbalanced/logregccd_aucroc_metrics_confusion_matrix.pdf deleted file mode 100644 index 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/dev/null @@ -1,30 +0,0 @@ -================================================== -MODEL EVALUATION RESULTS -================================================== - -COEFFICIENTS: -[-1.15516668 1.00386163 0.52155206 0.10521821 0.02315696 0.13648245 - 0.06691901 0.08005991 0.00759751 0. 0.15877376] - -AUC-ROC SCORE: 0.7991 - -BALANCED ACCURACY: 0.6329 - -ACCURACY: 0.7467 - -CLASSIFICATION REPORT: - precision recall f1-score support - - 0 0.80 0.87 0.84 221 - 1 0.53 0.39 0.45 79 - - accuracy 0.75 300 - macro avg 0.66 0.63 0.64 300 -weighted avg 0.73 0.75 0.73 300 - - -CONFUSION MATRIX: -193 28 -48 31 - -================================================== diff --git a/results/synthetic_data/Slightly imbalanced/logregccd_metrics_confusion_matrix.pdf b/results/synthetic_data/Slightly imbalanced/logregccd_metrics_confusion_matrix.pdf deleted file mode 100644 index b6b33e9768d80964cdb949edbb7c071bb5b7c06c..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 12516 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correlation/sklearn_metrics.txt deleted file mode 100644 index 90f6229..0000000 --- a/results/synthetic_data/Strong correlation/sklearn_metrics.txt +++ /dev/null @@ -1,30 +0,0 @@ -================================================== -MODEL EVALUATION RESULTS -================================================== - -COEFFICIENTS: -[ 0.04895156 3.33080161 -1.20351234 -0.82914132 -0.42978342 0.029961 - 0.18916221 0.38800177 -0.26289354 -0.22108733 0.21599341] - -AUC-ROC SCORE: 0.8727 - -BALANCED ACCURACY: 0.7770 - -ACCURACY: 0.7767 - -CLASSIFICATION REPORT: - precision recall f1-score support - - 0 0.79 0.77 0.78 155 - 1 0.76 0.79 0.77 145 - - accuracy 0.78 300 - macro avg 0.78 0.78 0.78 300 -weighted avg 0.78 0.78 0.78 300 - - -CONFUSION MATRIX: -119 36 -31 114 - -================================================== diff --git a/results/synthetic_data/Strong correlation/sklearn_metrics_confusion_matrix.pdf b/results/synthetic_data/Strong correlation/sklearn_metrics_confusion_matrix.pdf deleted 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zRzDEu|IT}GNC*P|e~t(C3^ None: """ From 2d336160ae4053893a22a9222e618330a80f581b Mon Sep 17 00:00:00 2001 From: Weronika Gozdera Date: Mon, 31 Mar 2025 18:44:15 +0200 Subject: [PATCH 5/9] Typo --- src/data/data_loader.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/src/data/data_loader.py b/src/data/data_loader.py index 5e2ac55..200fb9c 100644 --- a/src/data/data_loader.py +++ b/src/data/data_loader.py @@ -48,7 +48,8 @@ def __init__(self, p, n, d, g, random_seed=42): # pylint: disable=too-many-argum self.random_seed = random_seed def load_data(self): - """Generate synthetic data efficiently.""" + """Generate synthetic data.""" + np.random.seed(self.random_seed) labels = np.random.binomial(1, self.p, size=self.n) indices = np.arange(self.d) From b4588f0cea8ed5fe2aa0b4767566d09812ec7821 Mon Sep 17 00:00:00 2001 From: Weronika Gozdera Date: Mon, 31 Mar 2025 19:21:31 +0200 Subject: [PATCH 6/9] Run analyses --- .../synthetic_data/synthetic_data.ipynb | 23 ++++++++++++++----- 1 file changed, 17 insertions(+), 6 deletions(-) diff --git a/notebooks/experiments/synthetic_data/synthetic_data.ipynb b/notebooks/experiments/synthetic_data/synthetic_data.ipynb index 83ce60f..58e02a8 100644 --- a/notebooks/experiments/synthetic_data/synthetic_data.ipynb +++ b/notebooks/experiments/synthetic_data/synthetic_data.ipynb @@ -11,10 +11,21 @@ "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "c:\\Users\\weron\\Pulpit\\sem1\\aml\\projects\\proj1\\LogRegCCD\\notebooks\\experiments\n", + "c:\\Users\\weron\\Pulpit\\sem1\\aml\\projects\\proj1\\LogRegCCD\\notebooks\n", + "c:\\Users\\weron\\Pulpit\\sem1\\aml\\projects\\proj1\\LogRegCCD\n" + ] + } + ], "source": [ "import os\n", - "if not os.path.exists(\"./notebooks\"):\n", + "if not os.path.exists(\"./notebooks/experiments/synthetic_data\"):\n", + " %cd ..\n", " %cd ..\n", " %cd ..\n", "\n", @@ -354,10 +365,10 @@ "metadata": {}, "outputs": [], "source": [ - "n_values = np.linspace(100, 10000, num=2, dtype=int) \n", - "p_values = np.linspace(0.1, 0.9, num=2)\n", - "d_values = np.linspace(10, 500, num=2, dtype=int)\n", - "g_values = np.linspace(0, 0.9, num=2)" + "n_values = np.linspace(100, 10000, num=20, dtype=int) \n", + "p_values = np.linspace(0.1, 0.9, num=20)\n", + "d_values = np.linspace(10, 500, num=20, dtype=int)\n", + "g_values = np.linspace(0, 0.9, num=20)" ] }, { From 568e87bfd61fa7bb06ffabceaa6765121375ff66 Mon Sep 17 00:00:00 2001 From: Weronika Gozdera Date: Mon, 31 Mar 2025 19:22:48 +0200 Subject: [PATCH 7/9] Forgot to save --- .../synthetic_data/synthetic_data.ipynb | 205 +++++++++++++++--- 1 file changed, 171 insertions(+), 34 deletions(-) diff --git a/notebooks/experiments/synthetic_data/synthetic_data.ipynb b/notebooks/experiments/synthetic_data/synthetic_data.ipynb index 58e02a8..629326b 100644 --- a/notebooks/experiments/synthetic_data/synthetic_data.ipynb +++ b/notebooks/experiments/synthetic_data/synthetic_data.ipynb @@ -9,19 +9,9 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 23, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "c:\\Users\\weron\\Pulpit\\sem1\\aml\\projects\\proj1\\LogRegCCD\\notebooks\\experiments\n", - "c:\\Users\\weron\\Pulpit\\sem1\\aml\\projects\\proj1\\LogRegCCD\\notebooks\n", - "c:\\Users\\weron\\Pulpit\\sem1\\aml\\projects\\proj1\\LogRegCCD\n" - ] - } - ], + "outputs": [], "source": [ "import os\n", "if not os.path.exists(\"./notebooks/experiments/synthetic_data\"):\n", @@ -53,7 +43,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 24, "metadata": {}, "outputs": [], "source": [ @@ -72,7 +62,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 25, "metadata": {}, "outputs": [], "source": [ @@ -91,7 +81,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ @@ -110,7 +100,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 27, "metadata": {}, "outputs": [], "source": [ @@ -122,7 +112,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 28, "metadata": {}, "outputs": [], "source": [ @@ -139,7 +129,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 29, "metadata": {}, "outputs": [], "source": [ @@ -177,7 +167,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 30, "metadata": {}, "outputs": [], "source": [ @@ -233,7 +223,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 31, "metadata": {}, "outputs": [], "source": [ @@ -276,7 +266,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 32, "metadata": {}, "outputs": [], "source": [ @@ -308,7 +298,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 33, "metadata": {}, "outputs": [], "source": [ @@ -361,7 +351,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 34, "metadata": {}, "outputs": [], "source": [ @@ -380,9 +370,44 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 35, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\weron\\AppData\\Roaming\\Python\\Python313\\site-packages\\sklearn\\linear_model\\_logistic.py:465: ConvergenceWarning: lbfgs failed to converge (status=1):\n", + "STOP: TOTAL NO. OF ITERATIONS REACHED LIMIT.\n", + "\n", + "Increase the number of iterations (max_iter) or scale the data as shown in:\n", + " https://scikit-learn.org/stable/modules/preprocessing.html\n", + "Please also refer to the documentation for alternative solver options:\n", + " https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n", + " n_iter_i = _check_optimize_result(\n" + ] + }, + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "if run_analyses:\n", " all_results = []\n", @@ -416,7 +441,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 36, "metadata": {}, "outputs": [], "source": [ @@ -442,9 +467,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 37, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Coefficients: [ 0.00971202 1.03020449 0.42963825 0.53936039 0.38949626 0.15684098\n", + " 0.21319342 0.23537587 0.16191342 0.18365853 0.06636172 -0.03334925\n", + " 0.1675601 0.14399671 0.16017726 0.05761118 0.11356124 -0.13747389\n", + " -0.1433764 -0.02271276 0.00399469 -0.1159668 -0.02256725 -0.01848604\n", + " 0.31799332 0.02435789 0.18783127 0.16353952 0.1279509 0.09794269\n", + " 0.04099777 0.09912719 0.1330662 0.1994868 0.15223957 0.03409524\n", + " -0.14943674 -0.14482669 -0.07198809 0.03577617 -0.01984858 0.06421358\n", + " -0.18171279 -0.07524695 0.11412908 -0.06403878 0.00704852 -0.04643063\n", + " 0.07066416 0.04998123 0.07003251]\n", + "\n", + "\u001b[96m\u001b[4mAUC ROC\u001b[0m: 0.7759733036707452\n", + "\n", + "\u001b[96m\u001b[4mBalanced accuracy\u001b[0m: 0.7003337041156841\n", + "\n", + "Accuracy: 0.7000\n" + ] + } + ], "source": [ "model = LogisticRegression(penalty=None)\n", "model.fit(X_train, y_train)\n", @@ -460,9 +508,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 38, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Coefficients: [ 0.01679906 0.82841853 0.35343007 0.3880522 0.20431825 0.04585367\n", + " 0.09847937 0.11018138 0.07652506 0.09700582 0.00592905 0.\n", + " 0.0666479 0.03876443 0.05060329 0. 0. -0.0050459\n", + " -0.03918979 0. -0. -0. -0. -0.\n", + " 0.17557779 0. 0.08633449 0.04484789 0.0523681 0.\n", + " 0. 0.00385619 0.02438083 0.06263386 0. 0.\n", + " -0.04475727 -0.00392319 -0. 0. -0. 0.\n", + " -0.07869295 -0. 0.03587321 -0. 0. -0.\n", + " 0. -0. 0. ]\n", + "\n", + "\u001b[96m\u001b[4mAUC ROC\u001b[0m: 0.8000889877641825\n", + "\n", + "\u001b[96m\u001b[4mBalanced accuracy\u001b[0m: 0.7109010011123471\n", + "\n", + "Accuracy: 0.7100\n" + ] + } + ], "source": [ "model_ccd = LogRegCCD(verbose=False)\n", "model_ccd.fit(X_train, y_train, experiment.eps, experiment.lam_max, experiment.lam_count, experiment.k_fold)\n", @@ -478,9 +549,42 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 39, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Coefficients: [ 0.01728915 0.78227723 0.32659807 0.34661581 0.1576517 0.01399435\n", + " 0.06827112 0.0791362 0.05474807 0.06760432 0. 0.\n", + " 0.04025498 0.00222729 0.01917211 0. 0. -0.\n", + " -0.00359362 0. -0. -0. 0. -0.\n", + " 0.13834435 0. 0.05517803 0.00430167 0.02774441 0.\n", + " 0. 0. 0. 0.02621004 0. 0.\n", + " -0.01249191 -0. -0. 0. -0. 0.\n", + " -0.04452702 -0. 0.00156943 -0. 0. -0.\n", + " 0. -0. 0. ]\n", + "\n", + "\u001b[96m\u001b[4mAUC ROC\u001b[0m: 0.8028031145717465\n", + "\n", + "\u001b[96m\u001b[4mBalanced accuracy\u001b[0m: 0.7242491657397108\n", + "\n", + "Accuracy: 0.7233\n" + ] + } + ], "source": [ "model_ccd.plot(X_valid, y_valid, measure=aucroc)\n", "_ = model_ccd.validate(X_valid, y_valid, measure=aucroc)\n", @@ -496,9 +600,42 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 40, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Coefficients: [ 0.01544424 0.64495457 0.21608311 0.20985263 0.03131555 0.\n", + " 0. 0. 0. 0. 0. 0.\n", + " 0. 0. 0. 0. 0. -0.\n", + " -0. 0. -0. -0. 0. -0.\n", + " 0.00548658 0. 0. 0. 0. 0.\n", + " 0. 0. 0. 0. 0. 0.\n", + " -0. -0. -0. 0. 0. 0.\n", + " -0. -0. 0. 0. 0. -0.\n", + " 0. -0. 0. ]\n", + "\n", + "\u001b[96m\u001b[4mAUC ROC\u001b[0m: 0.8004894327030033\n", + "\n", + "\u001b[96m\u001b[4mBalanced accuracy\u001b[0m: 0.7208008898776419\n", + "\n", + "Accuracy: 0.7200\n" + ] + } + ], "source": [ "model_ccd.plot(X_valid, y_valid, measure=ba)\n", "_ = model_ccd.validate(X_valid, y_valid, measure=ba)\n", From 74a5c99f6226c8891e78ff7243f6a83c25dc25e8 Mon Sep 17 00:00:00 2001 From: mytkom Date: Mon, 31 Mar 2025 19:40:34 +0200 Subject: [PATCH 8/9] adjust algorithm correctness test to new synthetic dataset generating --- 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-115,8 +114,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "Test accuracy after validation: 0.7250\n", - "Best beta: [0.08158965 1.14339811 0.41037991 0.31593843 0.12861029 0.29051693]\n" + "Test accuracy after validation: 0.6167\n", + "Best beta: [0.09010534 1.19029788 0.53420729 0.34008761 0.16421146 0.35057121]\n" ] } ], @@ -155,7 +154,7 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -175,7 +174,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -231,13 +230,13 @@ "output_type": "stream", "text": [ " Model Accuracy\n", - "0 LogisticRegression 0.713333\n", - "1 LogRegCCD 0.713333\n" + "0 LogisticRegression 0.74\n", + "1 LogRegCCD 0.74\n" ] }, { "data": { - "image/png": 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", + "image/png": 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+xezZsxEXF4c7d+5ACKE2djMzM/j7+6vs/zrm5uZKP08KPXv2TLGdqLQwmSXSkI2NDZydnbX+1npRI1+vMjY21qr85V9Gmjp48CDef/99tG3bFosXL4aTkxOkUini4uKwbt06lfqa/gL67LPP0KZNG2zevBm7d+/G3Llz8c0332DTpk3o2rWr1nEWdc76UKdOHVSqVAlnzpzRabtyuRwSiQQ7d+5Ue75WVlY6PZ625HI5AGD8+PEIDAxUW+fVP9Te5LXatm1bXL16FVu3bsXu3buxYsUKLFiwAEuXLsXgwYOL3G/WrFmYMmUKBg4ciOnTp8Pe3h5GRkYICwtTnIMuPH78GO3atYONjQ2mTZuG2rVrw8zMDCdPnsSXX36pcqzSeD9r+rNEnVGjRiEuLg5hYWHw8/ODra0tJBIJPv/8c6XYCwoKcP/+fY3atLe3V6yk4eTkpDJSDwD37t0DADg7O5c4dqLXYTJLpIUePXrgxx9/RFJSktKUAHVq1qwJuVyOy5cvK0blACA9PR2PHz9GzZo1dRqbXC7HtWvXFKOxAHDp0iUAL+4IBbz4uNnMzAx//PGH0keCcXFxb3x8JycnjBgxAiNGjEBGRgaaNWuGmTNnomvXropzvXjxIjp27Ki038WLF3V2LV4+zsuj1Pn5+UhNTS3RiJOFhQU6duyIvXv34tatWyoja+pi2LNnD7Kzs5VGZws/hi6MsXbt2hBCoFatWkp9Vhpq166t9R9hhddPKpWW6LoVpbiEzN7eHiEhIQgJCUFOTg7atm2LqKioYpPZDRs2oEOHDli5cqVS+ePHj+Hg4KDRcTWRmJiIhw8fYtOmTWjbtq2iPDU19Y3aLc7ly5eVPh25cuUK5HK54v1c+DPm6tWrSqOxFy9eVGlrw4YNCA4Oxrx58xRlz549w+PHj5Xq3bp1S+NPZPbt24f27dsDAJo2bYp9+/YhKytL8WkGABw9elSxnai0cM4skRYmTpwIS0tLDB48GOnp6Srbr169iu+//x4A0K1bNwDAwoULlerMnz8fwIv5oroWExOj+L8QAjExMZBKpejUqROAF6NCEolE6aPY69evY8uWLSU+ZkFBgcpHrFWrVoWzs7PiY8fmzZujatWqWLp0qdJHkTt37sT58+d1di38/f1hYmKCH374QWmka+XKlcjMzCzxcSIjIyGEQL9+/ZCTk6OyPTk5GWvWrAHwot8LCgqU+gIAFixYAIlEohip/uijj2BsbIzo6GiVUTkhBB4+fFiiWNX5+OOPcfr0aWzevFllW1EjglWrVkX79u2xbNkyxejayzQdvXuVpaWlSgIFQOV8raysUKdOHbUfXb/M2NhY5Rx+++03lVFCS0tLAFB7bE0Ujqi+fKz8/HwsXry4RO1pIjY2Vun5okWLAEDxGir894cfflCq9+rPHED9dVq0aJHKnetKOmf2k08+QUFBgdINY/Ly8hAXFwdfX9/X/hFI9CY4Mkukhdq1a2PdunXo1asX6tevr3QHsMOHD+O3335T3NnIy8sLwcHB+PHHHxUfUR47dgxr1qxBz5490aFDB53GZmZmhl27diE4OBi+vr7YuXMntm/fjq+++kox/7R79+6YP38+unTpgj59+iAjIwOxsbGoU6cO/vrrrxIdNzs7G9WrV8cnn3wCLy8vWFlZYc+ePTh+/LhiFEgqleKbb75BSEgI2rVrh969eyM9PR3ff/893NzcMHbsWJ1cgypVqiAiIgLR0dHo0qUL3n//fVy8eBGLFy9GixYt8K9//atE7bZq1QqxsbEYMWIEPD09le4AlpiYiN9//x0zZswAAAQFBaFDhw74+uuvcf36dXh5eWH37t3YunUrwsLCFPMba9eujRkzZiAiIgLXr19Hz549YW1tjdTUVGzevBlDhw5VLD7/piZMmIANGzbg008/xcCBA+Hj44NHjx7h999/x9KlS5WSkpfFxsbivffeQ+PGjTFkyBC4u7sjPT0dSUlJuH37Nk6fPq11LD4+PliyZAlmzJiBOnXqoGrVqujYsSMaNGiA9u3bw8fHB/b29jhx4gQ2bNig9KVGdXr06IFp06YhJCQErVq1wpkzZ/Dvf/9bZf547dq1YWdnh6VLl8La2hqWlpbw9fXVeBSyVatWqFy5MoKDgzF69GhIJBKsXbu2RNN9NJWamor3338fXbp0QVJSEn7++Wf06dNH0V9NmzZF7969sXjxYmRmZqJVq1ZISEjAlStXVNrq0aMH1q5dC1tbWzRo0ABJSUnYs2ePyrziks6Z9fX1xaeffoqIiAhkZGSgTp06WLNmDa5fv64yak6kc297+QSi8uDSpUtiyJAhws3NTZiYmAhra2vRunVrsWjRIqUlemQymYiOjha1atUSUqlUuLq6FnvThFfh/29c8LLCpXPmzp2rKFN304Rq1aqJyMhIlWWLVq5cKerWrStMTU2Fp6eniIuLUywF9Lpjv7ytcNmfvLw8MWHCBOHl5SWsra2FpaWl8PLyUrsm7C+//CK8vb0Vi+IXd9OEV6mLsSgxMTHC09NTSKVSUa1aNTF8+HCltWxfbu91S3O9LDk5WfTp00c4OzsLqVQqKleuLDp16iTWrFmjdJ2zs7PF2LFjFfXq1q1b5E0TNm7cKN577z1haWkpLC0thaenpwgNDRUXL158bayaLs0lxIubC4wcOVK4uLgIExMTUb16dREcHCwePHgghCj6pglXr14V/fv3F46OjkIqlQoXFxfRo0cPsWHDBkWdwmWsjh8/rrRv4c0KXl7CKS0tTXTv3l1YW1sr3TRhxowZomXLlsLOzk6Ym5sLT09PMXPmTKW1TNV59uyZGDdunHBychLm5uaidevWIikpSbRr105lCbCtW7cqbgCi7lxfpm5prkOHDol3331XmJubC2dnZzFx4kTF0lovn2PhTRNepen7vLC///e//4lPPvlEWFtbi8qVK4uRI0eq3DTh6dOnYvTo0eKdd94RlpaWRd404e+//xYhISGKmysEBgaKCxcuqH2tlNTTp0/F+PHjhaOjozA1NRUtWrQQu3bt0knbRMWRCFGKf1YS0VtReE90dR+BExERlWecM0tEREREBovJLBEREREZLCazRERERGSwOGeWiIiIiAwWR2aJiIiIyGAxmSUiIiIig1Xhbpogl8tx9+5dWFtbv/HtDYmIiIhI94QQyM7OhrOzM4yMih97rXDJ7N27d3lbPSIiIiIDcOvWLVSvXr3YOhUumbW2tgbw4uLY2NjoORr9kslk2L17Nzp37gypVKrvcCos9oP+sQ/0j32gf+wD/WMf/CMrKwuurq6KvK04FS6ZLZxaYGNjw2RWJoOFhQVsbGwq/JtGn9gP+sc+0D/2gf6xD/SPfaBKkymh/AIYERERERksJrNEREREZLCYzBIRERGRwapwc2aJiIjKi4KCAshkMp20JZPJUKlSJTx79gwFBQU6aZO0U9H6QCqVwtjY+I3bYTJLRERkgHJycnD79m3o6q70Qgg4Ojri1q1bXIddTypaH0gkElSvXh1WVlZv1A6TWSIiIgNTUFCA27dvw8LCAlWqVNFJ4iOXy5GTkwMrK6vXLlJPpaMi9YEQAvfv38ft27dRt27dNxqhZTJLRERkYGQyGYQQqFKlCszNzXXSplwuR35+PszMzMp9IlVWVbQ+qFKlCq5fvw6ZTPZGyWz5v1JERETlVEX4KJrKL129fpnMEhEREZHBYjJLRERERAaLySwRERGVG25ubli4cGGJ91+9ejXs7Ox0Fo+hSkxMhEQiwePHj/UdymvxC2BUYQQt+lPfIagllcgR7Aogrhsg8vUdjrIv9us7AiLSwpv8nBMQkBcUwMjYGBJoNpfxv6Pe0/o4AwYMwOPHj7Flyxat99XE8ePHYWlpqVFdNzc3hIWFISwsTFHWq1cvdOvWTePjtW/fHvv3v/hZaWpqiho1aiAkJASTJk0y6DnNrVq1wr1792Bra6vvUF6LySwRERGVG1WqVHmj/c3NzbVeIWLIkCGYNm0a8vLysHfvXgwdOhR2dnYYPnz4G8VSnPz8fJiYmJRa+yYmJnB0dCy19nWJ0wyIiIioTNi/fz9atmwJU1NTODk5YdKkSXj+/Llie3Z2Nvr27QtLS0s4OTlhwYIFaN++vdLI6svTDIQQiIqKQo0aNWBqagpnZ2eMHj0awIsR1Rs3bmDs2LGQSCSKUVR10wz++9//okWLFjAzM4ODgwM+/PBDpe0WFhZwdHREzZo1ERISgiZNmiA+Pl6xPS8vD+PHj4eLiwssLS3h6+uLxMREpTaWL1+OmjVrwtnZGR999BHmz5+vFEdUVBSaNm2KFStWoFatWjAzMwMAPH78GIMHD0aVKlVgY2ODjh074vTp04r9Tp8+jQ4dOsDa2ho2Njbw8fHBiRMnAAA3btxAUFAQKleuDEtLSzRs2BA7duwAoH6awcaNG9GwYUOYmprCzc0N8+bNUzoHNzc3zJo1CwMHDoS1tTVq1KiBH3/8UV1X6xSTWSIiItK7O3fuoFu3bmjRogVOnz6NJUuWYOXKlZgxY4aiTnh4OA4dOoTff/8d8fHxOHjwIE6ePFlkmxs3bsSCBQuwbNkyXL58GVu2bEHjxo0BAJs2bUL16tUxbdo03Lt3D/fu3VPbxvbt2/Hhhx+iW7duOHXqFBISEtCyZUu1dYUQOHjwIC5cuKA0ajpy5EgkJSVh/fr1+Ouvv/Dpp5+iS5cuuHz5MgDg0KFDGDZsGEaPHo0DBw4gICAAM2fOVGn/ypUr2LhxIzZt2oSUlBQAwKeffoqMjAzs3LkTycnJaNasGTp16oRHjx4BAPr27Yvq1avj+PHjSE5OxqRJkyCVSgEAoaGhyMvLw4EDB3DmzBl88803Rd6NKzk5GZ999hk+//xznDlzBlFRUZgyZQpWr16tVG/evHlo3rw5Tp06hREjRmD48OG4ePFiET2kG5xmQERERHq3ePFiuLq6IiYmBhKJBJ6enrh79y6+/PJLTJ06Fbm5uVizZg3WrVuHTp06AQDi4uLg7OxcZJs3b96Eo6Mj/P39IZVKUaNGDUUiam9vD2NjY1hbWxf7cfrMmTPx+eefIzo6WlHm5eWlEvuKFSuQn58PmUwGMzMzxQjwzZs3ERcXh5s3bypiHT9+PHbt2oW4uDjMmjULixYtQteuXTFu3DhkZWWhWbNmSEpKwrZt25SOk5+fj59++kkxleLPP//EsWPHkJGRAVNTUwDAd999hy1btmDDhg0YOnQobt68iQkTJsDT0xMAULduXaXr8/HHHysSfHd39yKvw/z589GpUydMmTIFAODh4YH//e9/mDt3LgYMGKCo161bN4wYMQIA8OWXX2LBggXYt28f6tWrV2Tbb4ojs0RERKR358+fh5+fn9KXplq3bo2cnBzcvn0b165dg0wmUxoVtbW1LTZJ+vTTT/H06VO4u7tjyJAh2Lx5s9K0BU2kpKQokuei9O3bFykpKTh06BC6du2Kr7/+Gq1atQIAnDlzBgUFBfDw8ICVlZXisX//fly9ehUAcPHiRZXRXnWjvzVr1lSaE3z69Gnk5OTgnXfeUWo7NTVV0XZ4eDgGDx4Mf39/zJkzR1EOAKNHj8aMGTPQunVrREZG4q+//iryHM+fP4/WrVsrlbVu3RqXL19GQUGBoqxJkyaK/0skEjg6OiIjI6PY6/emODJLRERE5ZKrqysuXryIPXv2ID4+HiNGjMDcuXOxf/9+xUftr6PJl8FsbW1Rp04dAMCvv/6KOnXq4N1334W/vz9ycnJgbGyM5ORklVu2FvWRflFeXaUhJycHTk5OKvNvASjm20ZFRaFPnz7Yvn07du7cicjISKxfvx4ffvghBg8ejMDAQGzfvh27d+/G7NmzMW/ePIwaNUqruF726nWVSCSQy+Ulbk8Teh2ZPXDgAIKCguDs7AyJRPLaZTo2bdqEgIAAxSRnPz8//PHHH28nWCIiIio19evXR1JSEoQQirJDhw7B2toa1atXh7u7O6RSKY4fP67YnpmZiUuXLhXbrrm5OYKCgvDDDz8gMTERSUlJOHPmDIAX39h/eVRRnSZNmiAhIUHj87CyssKYMWMwfvx4CCHg7e2NgoICZGRkoE6dOkqPwukN9erVUzovACrP1WnWrBnS0tJQqVIllbYdHBwU9Tw8PDB27Fjs3r0bH330EeLi4hTbXF1dMWzYMGzatAnjxo3D8uXL1R6rfv36OHTokFLZoUOH4OHhoZKkv216TWZzc3Ph5eWF2NhYjeoXToresWMHkpOT0aFDBwQFBeHUqVOlHCkRERHpSmZmJlJSUpQeQ4cOxa1btzBq1ChcuHABW7duRWRkJMLDw2FkZARra2sEBwdjwoQJ2LdvH86dO4dBgwbByMioyPVcV69ejZUrV+Ls2bO4du0afv75Z5ibm6NmzZoAXnz7/sCBA7hz5w4ePHigto3IyEj85z//QWRkJM6fP6/4olRxvvjiC1y6dAkbN26Eh4cH+vbti/79+2PTpk1ITU3FsWPHMHv2bGzfvh0AMGrUKOzYsQMLFizA1atXsWzZMuzcufO169T6+/vDz88PPXv2xO7du3H9+nUcPnwYX3/9NU6cOIGnT59i5MiRSExMxI0bN3Do0CEcP34c9evXBwCEhYXhjz/+QGpqKk6ePIl9+/Yptr1q3LhxSEhIwPTp03Hp0iWsWbMGMTExGD9+fLExvg16nWbQtWtXdO3aVeP6r97RY9asWdi6dSv++9//wtvbW+0+eXl5yMvLUzzPysoCAMhkMshkMu2DLkcKz7+iXAeppHQ/5igpqeTFKIRMotlHXm9VBXltVLT3QlnEPtCOTCaDEAJyuVzpI9ytoa1K3KYQAtnZ2bC2ttZ4sf+SfHwshEBiYqLK7+2BAwdi27Zt+PLLL+Hl5QV7e3sMHDgQX331leI43333HYYPH44ePXrAxsYGEyZMwK1bt2BqaqoUS+G1sbGxwbfffovw8HAUFBSgcePG2Lp1KypXrgy5XI6oqCgMHz4ctWvXRl5eHgoKChTtFP7btm1b/PLLL5g5cybmzJkDGxsbtGnTRu3xCtnZ2aFfv36IiopCz549sXLlSsycORPjxo3DnTt34ODgAF9fX3Tr1g1yuRx+fn5YvHgxpk+fjilTpqBz584ICwtDbGysot3CEetXr/m2bdswefJkhISE4P79+3B0dESbNm1QpUoVSCQSPHjwAP3790d6erpiWbHIyEjI5XI8f/4coaGhuH37NmxsbBAYGIj58+crva4K/9+0aVOsX78eUVFRmD59OpycnBAdHY3+/fsXey2KKitsWwgBmUymMrqrzc8CiXh5PF+PJBIJNm/ejJ49e2q8j1wuh5ubGyZOnIiRI0eqrRMVFaX0DcRC69atg4WFRUnDJSIi0ptKlSrB0dERrq6upbpwflmXm5uLBg0aYMaMGejXr5++w9GpMWPG4NKlS9i5c6e+Qyk1+fn5uHXrFtLS0lS+mPfkyRP06dMHmZmZsLGxKbYdg/4C2HfffYecnBx89tlnRdaJiIhAeHi44nlWVhZcXV3RuXPn116c8k4mkyE+Ph4BAQEaT4Q3ZL2WJek7BLWkEoE+1R8jIGMZpKKMjUqF7NB3BG9FRXsvlEXsA+08e/YMt27dgpWVlWLx/DdVkpHZt+3UqVO4cOECWrZsiczMTEyfPh0SiQS9evUy+N/p8+bNU6yacPDgQfznP/9BTEyMwZ9XcZ49ewZzc3O0bdtW5XVc+Em6Jgw2mV23bh2io6OxdetWVK1atch6pqamirXXXiaVSvkD8/9VlGshE2V1JboXH71IhQxSka/nWF5RAV4XL6so74WyjH2gmYKCAkgkEhgZGcHISDc/2wo/Bi5stywyMjLC/PnzcfHiRZiYmMDHxwcHDx4sNg8wFMePH8fcuXORnZ0Nd3d3/PDDDxg6dKi+wypVhfOd1b3vtfk5YJDJ7Pr16zF48GD89ttv8Pf313c4RERE9BZ4e3sjOTlZ32GUil9//RVyuRxZWVmwsbEps39QlEUGd6X+85//ICQkBP/5z3/QvXt3fYdDRERERHqk15HZnJwcXLlyRfE8NTUVKSkpsLe3R40aNRAREYE7d+7gp59+AvBiakFwcDC+//57+Pr6Ii0tDcCLNeRsbW31cg5EREREpD96HZk9ceIEvL29FctzhIeHw9vbG1OnTgUA3Lt3Dzdv3lTU//HHHxXLSDg5OSkeY8aM0Uv8RERERKRfeh2Zbd++PYpbGWz16tVKz9Xdro2IiIiIKi6DmzNLRERERFSIySwRERERGSyDXJqLiIiI1FjWrsS7SgBYFRRA8sptRYv1xf4SH49IVzgyS0RERG/NgAEDtLp1vbbat28PiUQCiUQCMzMzeHh4YPbs2cV+R6ek8vPz8e2338LLywsWFhZwcHBA69atERcXB5nsnzs6pqWlYdSoUXB3d4epqSlcXV0RFBSEhIQERR03NzcYGxujcuXKsLS0hJubGz777DPs3btX53GXN0xmiYiIqFwZMmQI7t27h4sXLyIiIgJTp07F0qVLdXqM/Px8BAYGYs6cORg6dCgOHz6MY8eOITQ0FIsWLcK5c+cAANevX4ePjw/27t2LuXPn4syZM9i1axc6dOiA0NBQpTajo6Nx4cIFnD9/Hj/99BPs7Ozg7++PmTNn6jT28obJLBEREZUJ+/fvR8uWLWFqagonJydMmjQJz58/V2zPzs5G3759YWlpCScnJyxYsADt27dHWFiYUjsWFhZwdHREzZo1ERISgiZNmiA+Pl6xPS8vD+PHj4eLiwssLS3h6+ursmLS8uXL4erqCgsLC3z44YeYP38+7OzsFNsXLlyIAwcOICEhAaGhoWjatCnc3d3Rp08fHD16FHXr1gUAjBgxAhKJBMeOHcPHH38MDw8PNGzYEOHh4Thy5IjSMa2trVGtWjXUqFEDbdu2xY8//ogpU6Zg6tSpuHjxom4ucjnEZJaIiIj07s6dO+jWrRtatGiB06dPY8mSJVi5ciVmzJihqBMeHo5Dhw7h999/R3x8PA4ePIiTJ08W2aYQAgcPHsSFCxdgYmKiKB85ciSSkpKwfv16/PXXX/j000/RpUsXXL58GQBw6NAhDBs2DGPGjEFKSgoCAgJURkf//e9/w9/fX7FW/sukUiksLS3x6NEj7Nq1C6GhobC0tFSp93JyXJQxY8ZACIGtW7e+tm5FxS+AERERkd4tXrwYrq6uiImJgUQigaenJ+7evYsvv/wSU6dORW5uLtasWYN169ahU6dOAIC4uDg4OzurbWvFihXIz8+HTCaDmZkZRo8eDQC4efMm4uLicPPmTcW+48ePx65duxAXF4dZs2Zh0aJF6Nq1K8aPHw8A8PDwwOHDh7Ft2zbFMS5fvoz27dsXe05XrlyBEAKenp4lvi729vaoWrUqrl+/XuI2yjuOzBIREZHenT9/Hn5+fpBIJIqy1q1bIycnB7dv38a1a9cgk8nQsmVLxXZbW1vUq1dPpa2+ffsiJSUFhw4dQteuXfH111+jVatWAIAzZ86goKAAHh4esLKyUjz279+Pq1evAgAuXryodBwAKs81+UKZrr50JoRQui6kjCOzREREVK7Y2tqiTp06AIBff/0VderUwbvvvgt/f3/k5OTA2NgYycnJMH5lGTIrKyuNj+Hh4YELFy4UW6du3bqQSCSvrVechw8f4v79+6hVq1aJ2yjvODJLREREele/fn0kJSUpjWYeOnQI1tbWqF69Otzd3SGVSnH8+HHF9szMTFy6dKnYdq2srDBmzBiMHz8eQgh4e3ujoKAAGRkZqFOnjtLD0dERAFCvXj2l4wBQed6nTx/s2bMHp06dUjmmTCZDbm4u7O3tERgYiNjYWOTm5qrUe/z48Wuvy/fffw8jI6NSXc7M0DGZJSIiorcqMzMTKSkpSo+hQ4fi1q1bGDVqFC5cuICtW7ciMjIS4eHhMDIygrW1NYKDgzFhwgTs27cP586dw6BBg2BkZPTaj+C/+OILXLp0CRs3boSHhwf69u2L/v37Y9OmTUhNTcWxY8cwe/ZsbN++HQAwatQo7NixA/Pnz8fly5exbNky7Ny5U+k4YWFhaN26NTp16oTY2FicPn0a165dw6+//op3331X8WWy2NhYFBQUoGXLlti4cSMuX76M8+fP44cffoCfn59SnNnZ2UhPT8etW7dw4MABDB06FDNmzMDMmTMVI82kitMMiIiIyos3uCOXkMuRk5UFGxsbSIxKd6wrMTFRZRWAQYMGYceOHZgwYQK8vLxgb2+PQYMGYfLkyYo68+fPx7Bhw9CjRw/Y2Nhg4sSJuHXrFszMzIo9nr29Pfr374+oqCh89NFHiIuLw4wZMzBu3DjcuXMHDg4OePfdd9GjRw8AL+bqLl26FNHR0Zg8eTICAwMxduxYxMTEKNo0NTVFfHw8FixYgGXLlmH8+PGwsLBA/fr1MXr0aDRq1AgA4O7ujpMnT2LmzJkYN24c7t27hypVqsDHxwdLlixRijMyMhKRkZEwMTGBo6Mj3n33XSQkJKBDhw5vdL3LO4kojVtilGFZWVmwtbVFZmYmbGxs9B2OXslkMuzYsQPdunWDVCrVdzilLmjRn/oOQS2pRI5g17/RLT0GUpGv73CUVZBbVVa090JZxD7QzrNnz5CamopatWq9NpHTlFwuR9b/J7NGpZzM6kpubi5cXFwwb948DBo0qFSPNWTIEFy4cAEHDx4stWMYYh+8ieJex9rkaxyZJSIiIoNw6tQpXLhwAS1btkRmZiamTZsGAPjggw90fqzvvvsOAQEBsLS0xM6dO7FmzRosXrxY58ehN8dkloiIiAzGd999h4sXL8LExAQ+Pj44ePAgHBwcdH6cY8eO4dtvv0V2djbc3d3xww8/YPDgwTo/Dr05JrNERERkELy9vZGcnPxWjvXrr7++lePQmyv/EzKIiIiIqNxiMktERGSgKth3uKmc0dXrl8ksERGRgSm8c1V+fhlbAYVIC4Wv31fvxKYtzpklIiIyMJUqVYKFhQXu378PqVSqk2Wc5HI58vPz8ezZswqxLFRZVJH6QC6X4/79+7CwsEClSm+WjjKZJSIiMjASiQROTk5ITU3FjRs3dNKmEAJPnz6Fubn5a++oRaWjovWBkZERatSo8cbnymSWiIjIAJmYmKBu3bo6m2ogk8lw4MABtG3bljeu0JOK1gcmJiY6GYFmMktERGSgjIyMdHYHMGNjYzx//hxmZmYVIpEqi9gHJVO+J2QQERERUbnGZJaIiIiIDBaTWSIiIiIyWExmiYiIiMhgMZklIiIiIoPFZJaIiIiIDBaTWSIiIiIyWExmiYiIiMhgMZklIiIiIoPFZJaIiIiIDBaTWSIiIiIyWExmiYiIiMhg6TWZPXDgAIKCguDs7AyJRIItW7a8dp/ExEQ0a9YMpqamqFOnDlavXl3qcRIRERFR2aTXZDY3NxdeXl6IjY3VqH5qaiq6d++ODh06ICUlBWFhYRg8eDD++OOPUo6UiIiIiMqiSvo8eNeuXdG1a1eN6y9duhS1atXCvHnzAAD169fHn3/+iQULFiAwMLC0wiQiIiKiMkqvyay2kpKS4O/vr1QWGBiIsLCwIvfJy8tDXl6e4nlWVhYAQCaTQSaTlUqchqLw/CvKdZBK5PoOQS2pRAAAZBKpniNRo4K8Nirae6EsYh/oH/tA/9gH/9DmGhhUMpuWloZq1aoplVWrVg1ZWVl4+vQpzM3NVfaZPXs2oqOjVcp3794NCwuLUovVkMTHx+s7hLci2FXfERQvvuoX+g5B1Y4d+o7graoo74WyjH2gf+wD/WMfAE+ePNG4rkElsyURERGB8PBwxfOsrCy4urqic+fOsLGx0WNk+ieTyRAfH4+AgABIpWVwVFDHei1L0ncIakklAn2qP0ZAxjJIRRn7azykYiSzFe29UBaxD/SPfaB/7IN/FH6SrgmDSmYdHR2Rnp6uVJaeng4bGxu1o7IAYGpqClNTU5VyqVRa4V8ohSrKtZCJsroS3YvpD1Ihg1Tk6zmWV1SA18XLKsp7oSxjH+gf+0D/2AfQ6vzL6m93tfz8/JCQkKBUFh8fDz8/Pz1FRERERET6pNdkNicnBykpKUhJSQHwYumtlJQU3Lx5E8CLKQL9+/dX1B82bBiuXbuGiRMn4sKFC1i8eDF+/fVXjB07Vh/hExEREZGe6TWZPXHiBLy9veHt7Q0ACA8Ph7e3N6ZOnQoAuHfvniKxBYBatWph+/btiI+Ph5eXF+bNm4cVK1ZwWS4iIiKiCkqvc2bbt28PIUSR29Xd3at9+/Y4depUKUZFRERERIbCoObMEhERERG9jMksERERERksJrNEREREZLCYzBIRERGRwWIyS0REREQGi8ksERERERksJrNEREREZLCYzBIRERGRwWIyS0REREQGi8ksERERERksJrNEREREZLCYzBIRERGRwWIyS0REREQGi8ksERERERksJrNEREREZLCYzBIRERGRwWIyS0REREQGi8ksERERERmsEiWzV69exeTJk9G7d29kZGQAAHbu3Ilz587pNDgiIiIiouJonczu378fjRs3xtGjR7Fp0ybk5OQAAE6fPo3IyEidB0hEREREVBStk9lJkyZhxowZiI+Ph4mJiaK8Y8eOOHLkiE6DIyIiIiIqjtbJ7JkzZ/Dhhx+qlFetWhUPHjzQSVBERERERJrQOpm1s7PDvXv3VMpPnToFFxcXnQRFRERERKQJrZPZzz//HF9++SXS0tIgkUggl8tx6NAhjB8/Hv379y+NGImIiIiI1NI6mZ01axY8PT3h6uqKnJwcNGjQAG3btkWrVq0wefLk0oiRiIiIiEitStruYGJiguXLl2PKlCk4e/YscnJy4O3tjbp165ZGfERERERERdI6mS1Uo0YN1KhRQ5exEBERERFpRetkduDAgcVuX7VqVYmDISIiIiLShtbJ7N9//630XCaT4ezZs3j8+DE6duyos8CIiIiIiF5H62R28+bNKmVyuRzDhw9H7dq1dRIUEREREZEmtF7NQG0jRkYIDw/HggULdNEcEREREZFGdJLMAsDVq1fx/PlzXTVHRERERPRaWk8zCA8PV3ouhMC9e/ewfft2BAcH6ywwIiIiIqLX0TqZPXXqlNJzIyMjVKlSBfPmzXvtSgdERERERLqkdTK7b9++0oiDiIiIiEhrOpszS0RERET0tmk0Muvt7Q2JRKJRgydPntQqgNjYWMydOxdpaWnw8vLCokWL0LJlyyLrL1y4EEuWLMHNmzfh4OCATz75BLNnz4aZmZlWxyUiIiIiw6dRMtuzZ89SOfgvv/yC8PBwLF26FL6+vli4cCECAwNx8eJFVK1aVaX+unXrMGnSJKxatQqtWrXCpUuXMGDAAEgkEsyfP79UYiQiIiKiskujZDYyMrJUDj5//nwMGTIEISEhAIClS5di+/btWLVqFSZNmqRS//Dhw2jdujX69OkDAHBzc0Pv3r1x9OjRUomPiIiIiMo2rb8Apiv5+flITk5GRESEoszIyAj+/v5ISkpSu0+rVq3w888/49ixY2jZsiWuXbuGHTt2oF+/fkUeJy8vD3l5eYrnWVlZAF7chlcmk+nobAxT4flXlOsglcj1HYJaUokAAMgkUj1HokYFeW1UtPdCWcQ+0D/2gf6xD/6hzTWQCCGENo0XFBRgwYIF+PXXX3Hz5k3k5+crbX/06JFG7dy9excuLi44fPgw/Pz8FOUTJ07E/v37ixxt/eGHHzB+/HgIIfD8+XMMGzYMS5YsKfI4UVFRiI6OVilft24dLCwsNIqViIiIiN6eJ0+eoE+fPsjMzISNjU2xdbUemY2OjsaKFSswbtw4TJ48GV9//TWuX7+OLVu2YOrUqSUOWhOJiYmYNWsWFi9eDF9fX1y5cgVjxozB9OnTMWXKFLX7REREKN3oISsrC66urujcufNrL055J5PJEB8fj4CAAEilZXBUUMd6LVM/4q9vUolAn+qPEZCxDFJRxv4aD9mh7wjeior2XiiL2Af6xz7QP/bBPwo/SdeE1snsv//9byxfvhzdu3dHVFQUevfujdq1a6NJkyY4cuQIRo8erVE7Dg4OMDY2Rnp6ulJ5eno6HB0d1e4zZcoU9OvXD4MHDwYANG7cGLm5uRg6dCi+/vprGBmprjRmamoKU1NTlXKpVFrhXyiFKsq1kImyuhLdi+kPUiGDVOS/pu5bVgFeFy+rKO+Fsox9oH/sA/1jH0Cr89f6t3taWhoaN24MALCyskJmZiYAoEePHti+fbvG7ZiYmMDHxwcJCQmKMrlcjoSEBKVpBy978uSJSsJqbGwM4MVtdYmIiIioYtE6ma1evTru3bsHAKhduzZ2794NADh+/LjaEdDihIeHY/ny5VizZg3Onz+P4cOHIzc3V7G6Qf/+/ZW+IBYUFIQlS5Zg/fr1SE1NRXx8PKZMmYKgoCBFUktEREREFYfW0ww+/PBDJCQkwNfXF6NGjcK//vUvrFy5Ejdv3sTYsWO1aqtXr164f/8+pk6dirS0NDRt2hS7du1CtWrVAAA3b95UGomdPHkyJBIJJk+ejDt37qBKlSoICgrCzJkztT0NIiIiIioHNE5mY2Ji8K9//Qtz5sxRlPXq1Qs1atRAUlIS6tati6CgIK0DGDlyJEaOHKl2W2JionKwlSohMjKy1Na9JSIiIiLDovE0g6+//hrOzs7o27cv9u7dqyj38/NDeHh4iRJZIiIiIqI3oXEym5aWhqVLl+Lu3bsICAhArVq1MH36dNy6das04yMiIiIiKpLGyay5uTn69++Pffv24fLly+jXrx9WrlyJWrVqoUuXLvjtt994xwoiIiIieqtKtPCmu7s7pk2bhtTUVOzcuRPvvPMOBgwYABcXF13HR0RERERUpDdaRV4ikaBSpUqQSCQQQnBkloiIiIjeqhIls7du3cK0adPg7u6OgIAA3L17F8uXL1esP0tERERE9DZovDRXfn4+Nm3ahFWrVmHv3r1wcnJCcHAwBg4cCHd399KMkYiIiIhILY2TWUdHRzx58gQ9evTAf//7XwQGBqrcWpaIiIiI6G3SOJmdPHky+vXrhypVqpRmPEREREREGtM4mQ0PDy/NOIiIiIiItMZ5AkRERERksJjMEhEREZHBYjJLRERERAZL62R22rRpePLkiUr506dPMW3aNJ0ERURERESkCa2T2ejoaOTk5KiUP3nyBNHR0ToJioiIiIhIE1ons0IISCQSlfLTp0/D3t5eJ0EREREREWlC46W5KleuDIlEAolEAg8PD6WEtqCgADk5ORg2bFipBElEREREpI7GyezChQshhMDAgQMRHR0NW1tbxTYTExO4ubnBz8+vVIIkIiIiIlJH42Q2ODgYAFCrVi20atUKUqm01IIiIiIiItKExslsoXbt2kEul+PSpUvIyMiAXC5X2t62bVudBUdEREREVBytk9kjR46gT58+uHHjBoQQStskEgkKCgp0FhwRERERUXG0TmaHDRuG5s2bY/v27XByclK7sgERERER0dugdTJ7+fJlbNiwAXXq1CmNeIiIiIiINKb1OrO+vr64cuVKacRCRERERKQVrUdmR40ahXHjxiEtLQ2NGzdWWdWgSZMmOguOiIiIiKg4WiezH3/8MQBg4MCBijKJRKK4Mxi/AEZEREREb4vWyWxqamppxEFEREREpDWtk9maNWuWRhxERERERFrT+gtgALB27Vq0bt0azs7OuHHjBoAXt7vdunWrToMjIiIiIiqO1snskiVLEB4ejm7duuHx48eKObJ2dnZYuHChruMjIiIiIiqS1snsokWLsHz5cnz99dcwNjZWlDdv3hxnzpzRaXBERERERMXROplNTU2Ft7e3SrmpqSlyc3N1EhQRERERkSa0TmZr1aqFlJQUlfJdu3ahfv36uoiJiIiIiEgjWq9mEB4ejtDQUDx79gxCCBw7dgz/+c9/MHv2bKxYsaI0YiQiIiIiUkvrZHbw4MEwNzfH5MmT8eTJE/Tp0wfOzs74/vvv8fnnn5dGjEREREREammdzAJA37590bdvXzx58gQ5OTmoWrWqruMiIiIiInqtEq0zW8jCwuKNE9nY2Fi4ubnBzMwMvr6+OHbsWLH1Hz9+jNDQUDg5OcHU1BQeHh7YsWPHG8VARERERIZJo5HZZs2aISEhAZUrV4a3tzckEkmRdU+ePKnxwX/55ReEh4dj6dKl8PX1xcKFCxEYGIiLFy+qTZLz8/MREBCAqlWrYsOGDXBxccGNGzdgZ2en8TGJiIiIqPzQKJn94IMPYGpqCgDo2bOnzg4+f/58DBkyBCEhIQCApUuXYvv27Vi1ahUmTZqkUn/VqlV49OgRDh8+DKlUCgBwc3PTWTxEREREZFg0SmYjIyPV/v9N5OfnIzk5GREREYoyIyMj+Pv7IykpSe0+v//+O/z8/BAaGoqtW7eiSpUq6NOnD7788kulGzi8LC8vD3l5eYrnWVlZAACZTAaZTKaTczFUhedfUa6DVCLXdwhqSSUCACCTSPUciRoV5LVR0d4LZRH7QP/YB/rHPviHNtdA6y+AHT9+HHK5HL6+vkrlR48ehbGxMZo3b65ROw8ePEBBQQGqVaumVF6tWjVcuHBB7T7Xrl3D3r170bdvX+zYsQNXrlzBiBEjIJPJikyyZ8+ejejoaJXy3bt3w8LCQqNYy7v4+Hh9h/BWBLvqO4LixVf9Qt8hqKpg89ErynuhLGMf6B/7QP/YB8CTJ080rqt1MhsaGoqJEyeqJLN37tzBN998g6NHj2rbpMbkcjmqVq2KH3/8EcbGxvDx8cGdO3cwd+7cIpPZiIgIhIeHK55nZWXB1dUVnTt3ho2NTanFaghkMhni4+MREBCgmLZRnvVapn7EX9+kEoE+1R8jIGMZpKKM/TUeUjGS2Yr2XiiL2Af6xz7QP/bBPwo/SdeE1sns//73PzRr1kyl3NvbG//73/80bsfBwQHGxsZIT09XKk9PT4ejo6PafZycnCCVSpWmFNSvXx9paWnIz8+HiYmJyj6mpqaK+b4vk0qlFf6FUqiiXAuZeKPFO0rRi+kPUiGDVOTrOZZXVIDXxcsqynuhLGMf6B/7QP/YB9Dq/LX+7W5qaqqSgALAvXv3UKmS5rmxiYkJfHx8kJCQoCiTy+VISEiAn5+f2n1at26NK1euQC7/Z+7jpUuX4OTkpDaRJSIiIqLyTetktnPnzoiIiEBmZqai7PHjx/jqq68QEBCgVVvh4eFYvnw51qxZg/Pnz2P48OHIzc1VrG7Qv39/pS+IDR8+HI8ePcKYMWNw6dIlbN++HbNmzUJoaKi2p0FERERE5YDW0wy+++47tG3bFjVr1oS3tzcAICUlBdWqVcPatWu1aqtXr164f/8+pk6dirS0NDRt2hS7du1SfCns5s2bMDL6J992dXXFH3/8gbFjx6JJkyZwcXHBmDFj8OWXX2p7GkRERERUDmidzLq4uOCvv/7Cv//9b5w+fRrm5uYICQlB7969SzS/Y+TIkRg5cqTabYmJiSplfn5+OHLkiNbHISIiIqLyR+tkFgAsLS0xdOhQXcdCROVc0KI/9R2CWlKJ/MXSbXHdgLL2JTwA+GK/viMgIiqzNEpmf//9d3Tt2hVSqRS///57sXXff/99nQRGRERERPQ6GiWzPXv2RFpaGqpWrVrs7WwlEgkKCgp0FRsRERERUbE0SmZfXgrr5f8TEREREemTRktz2dvb48GDBwCAgQMHIjs7u1SDIiIiIiLShEbJbH5+vuK2YmvWrMGzZ89KNSgiIiIiIk1oNM3Az88PPXv2hI+PD4QQGD16NMzNzdXWXbVqlU4DJCIiIiIqikbJ7M8//4wFCxbg6tWrAIDMzEyOzhIRERGR3mmUzFarVg1z5swBANSqVQtr167FO++8U6qBERERERG9jtZfAOvQoQNMTExKNSgiIiIiIk3wC2BEREREZLD4BTAiIiIiMlhafwFMIpHwC2BEREREVCbwC2BEREREZLA0SmZflpqaqvj/s2fPYGZmptOAiIiIiIg0pdEXwF4ml8sxffp0uLi4wMrKCteuXQMATJkyBStXrtR5gERERERERdE6mZ0xYwZWr16Nb7/9VmmJrkaNGmHFihU6DY6IiIiIqDhaJ7M//fQTfvzxR/Tt2xfGxsaKci8vL1y4cEGnwRERERERFUfrZPbOnTuoU6eOSrlcLodMJtNJUEREREREmtA6mW3QoAEOHjyoUr5hwwZ4e3vrJCgiIiIiIk1ovZrB1KlTERwcjDt37kAul2PTpk24ePEifvrpJ2zbtq00YiQiIiIiUkvrkdkPPvgA//3vf7Fnzx5YWlpi6tSpOH/+PP773/8iICCgNGIkIiIiIlJL65FZAGjTpg3i4+N1HQsRERERkVZKlMwCQHJyMs6fPw8AaNiwIefLEhEREdFbp3Uym5GRgc8//xyJiYmws7MDADx+/BgdOnTA+vXrUaVKFV3HSERERESkltZzZkeNGoXs7GycO3cOjx49wqNHj3D27FlkZWVh9OjRpREjEREREZFaWo/M7tq1C3v27EH9+vUVZQ0aNEBsbCw6d+6s0+CIiIiIiIqj9cisXC6HVCpVKZdKpZDL5ToJioiIiIhIE1onsx07dsSYMWNw9+5dRdmdO3cwduxYdOrUSafBEREREREVR+tkNiYmBllZWXBzc0Pt2rVRu3Zt1KpVC1lZWVi0aFFpxEhEREREpJbWc2ZdXV1x8uRJ7NmzBxcuXAAA1K9fH/7+/joPjoiIiIioOCVaZ1YikSAgIIB3/CIiIiIivdJ4msHevXvRoEEDZGVlqWzLzMxEw4YNcfDgQZ0GR0RERERUHI2T2YULF2LIkCGwsbFR2WZra4svvvgC8+fP12lwRERERETF0TiZPX36NLp06VLk9s6dOyM5OVknQRERERERaULjZDY9PV3t+rKFKlWqhPv37+skKCIiIiIiTWiczLq4uODs2bNFbv/rr7/g5ORUoiBiY2Ph5uYGMzMz+Pr64tixYxrtt379ekgkEvTs2bNExyUiIiIiw6ZxMtutWzdMmTIFz549U9n29OlTREZGokePHloH8MsvvyA8PByRkZE4efIkvLy8EBgYiIyMjGL3u379OsaPH482bdpofUwiIiIiKh80TmYnT56MR48ewcPDA99++y22bt2KrVu34ptvvkG9evXw6NEjfP3111oHMH/+fAwZMgQhISFo0KABli5dCgsLC6xatarIfQoKCtC3b19ER0fD3d1d62MSERERUfmg8Tqz1apVw+HDhzF8+HBERERACAHgxZqzgYGBiI2NRbVq1bQ6eH5+PpKTkxEREaEoMzIygr+/P5KSkorcb9q0aahatSoGDRr02uXA8vLykJeXp3heuLSYTCaDTCbTKt7ypvD8K8p1kErk+g5BLankxXtJJil6Trre6Pi1wT4ooQrwHq1oP4/KIvaB/rEP/qHNNZCIwqxUC3///TeuXLkCIQTq1q2LypUra9sEAODu3btwcXHB4cOH4efnpyifOHEi9u/fj6NHj6rs8+eff+Lzzz9HSkoKHBwcMGDAADx+/BhbtmxRe4yoqChER0erlK9btw4WFhYlipuIiIiISs+TJ0/Qp08fZGZmql0W9mUlugNY5cqV0aJFixIF9yays7PRr18/LF++HA4ODhrtExERgfDwcMXzrKwsuLq6onPnzq+9OOWdTCZDfHw8AgICil2porzotazo0X59kkoE+lR/jICMZZCKMvbXeMgOnTbHPighHfdDWVTRfh6VRewD/WMf/EPdTbqKUqJkVlccHBxgbGyM9PR0pfL09HQ4Ojqq1L969SquX7+OoKAgRZlc/uJjy0qVKuHixYuoXbu20j6mpqYwNTVVaUsqlVb4F0qhinItZELjKeJv2YvXsFTIIBX5eo7lFTp+XbAPSqgCvD8LVZSfR2UZ+0D/2AfQ6vz1+pvFxMQEPj4+SEhIUJTJ5XIkJCQoTTso5OnpiTNnziAlJUXxeP/999GhQwekpKTA1dX1bYZPRERERHqm15FZAAgPD0dwcDCaN2+Oli1bYuHChcjNzUVISAgAoH///nBxccHs2bNhZmaGRo0aKe1vZ2cHACrlREREROoELfpT3yGoJZXIEewKIK4bUBY/Jfpiv74jUEvvyWyvXr1w//59TJ06FWlpaWjatCl27dqlWBnh5s2bMDIqqx9NEhEREZE+6T2ZBYCRI0di5MiRarclJiYWu+/q1at1HxARERERGYQykcwSEdHbwY9XS6iMfrxKRHr+AhgRERER0ZtgMktEREREBovJLBEREREZLCazRERERGSwmMwSERERkcFiMktEREREBovJLBEREREZLCazRERERGSwmMwSERERkcFiMktEREREBovJLBEREREZLCazRERERGSwmMwSERERkcFiMktEREREBovJLBEREREZLCazRERERGSwmMwSERERkcFiMktEREREBovJLBEREREZLCazRERERGSwmMwSERERkcFiMktEREREBovJLBEREREZLCazRERERGSwmMwSERERkcFiMktEREREBovJLBEREREZLCazRERERGSwmMwSERERkcFiMktEREREBovJLBEREREZLCazRERERGSwmMwSERERkcFiMktEREREBovJLBEREREZLCazRERERGSwykQyGxsbCzc3N5iZmcHX1xfHjh0rsu7y5cvRpk0bVK5cGZUrV4a/v3+x9YmIiIio/NJ7MvvLL78gPDwckZGROHnyJLy8vBAYGIiMjAy19RMTE9G7d2/s27cPSUlJcHV1RefOnXHnzp23HDkRERER6Zvek9n58+djyJAhCAkJQYMGDbB06VJYWFhg1apVauv/+9//xogRI9C0aVN4enpixYoVkMvlSEhIeMuRExEREZG+VdLnwfPz85GcnIyIiAhFmZGREfz9/ZGUlKRRG0+ePIFMJoO9vb3a7Xl5ecjLy1M8z8rKAgDIZDLIZLI3iN7wFZ5/RbkOUolc3yGoJZUIAIBMItVzJGro+LXBPighHfYD+6CEKsDPyYr0O4HvgxJ6i68NbV6HEiGEKMVYinX37l24uLjg8OHD8PPzU5RPnDgR+/fvx9GjR1/bxogRI/DHH3/g3LlzMDMzU9keFRWF6OholfJ169bBwsLizU6AiIiIiHTuyZMn6NOnDzIzM2FjY1NsXb2OzL6pOXPmYP369UhMTFSbyAJAREQEwsPDFc+zsrIU82xfd3HKO5lMhvj4eAQEBEAqLaN/BepQr2Wajfa/bVKJQJ/qjxGQsQxSUcZGREJ26LQ59kEJ6bAf2AclxD7QP/aB/un4d0JxCj9J14Rek1kHBwcYGxsjPT1dqTw9PR2Ojo7F7vvdd99hzpw52LNnD5o0aVJkPVNTU5iamqqUS6XSCpHAaaKiXAuZ0PsU8SK8+LhLKmSQinw9x/IKHb8u2AclpMN+YB+UEPtA/9gH+vcWcwVt8hK99qaJiQl8fHyUvrxV+GWul6cdvOrbb7/F9OnTsWvXLjRv3vxthEpEREREZZDepxmEh4cjODgYzZs3R8uWLbFw4ULk5uYiJCQEANC/f3+4uLhg9uzZAIBvvvkGU6dOxbp16+Dm5oa0tDQAgJWVFaysrPR2HkRERET09uk9me3Vqxfu37+PqVOnIi0tDU2bNsWuXbtQrVo1AMDNmzdhZPTPAPKSJUuQn5+PTz75RKmdyMhIREVFvc3QiYiIiEjP9J7MAsDIkSMxcuRItdsSExOVnl+/fr30AyIiIiIig1BWZ0ATEREREb0Wk1kiIiIiMlhMZomIiIjIYDGZJSIiIiKDxWSWiIiIiAwWk1kiIiIiMlhMZomIiIjIYDGZJSIiIiKDxWSWiIiIiAwWk1kiIiIiMlhMZomIiIjIYDGZJSIiIiKDxWSWiIiIiAwWk1kiIiIiMlhMZomIiIjIYDGZJSIiIiKDxWSWiIiIiAwWk1kiIiIiMliV9B1ARRC06E99h6CWVCJHsCuAuG6AyNd3OKq+2K/vCIiIiKiM48gsERERERksJrNEREREZLCYzBIRERGRwWIyS0REREQGi8ksERERERksJrNEREREZLCYzBIRERGRwWIyS0REREQGi8ksERERERksJrNEREREZLCYzBIRERGRwWIyS0REREQGi8ksERERERksJrNEREREZLCYzBIRERGRwWIyS0REREQGi8ksERERERmsMpHMxsbGws3NDWZmZvD19cWxY8eKrf/bb7/B09MTZmZmaNy4MXbs2PGWIiUiIiKiskTvyewvv/yC8PBwREZG4uTJk/Dy8kJgYCAyMjLU1j98+DB69+6NQYMG4dSpU+jZsyd69uyJs2fPvuXIiYiIiEjf9J7Mzp8/H0OGDEFISAgaNGiApUuXwsLCAqtWrVJb//vvv0eXLl0wYcIE1K9fH9OnT0ezZs0QExPzliMnIiIiIn2rpM+D5+fnIzk5GREREYoyIyMj+Pv7IykpSe0+SUlJCA8PVyoLDAzEli1b1NbPy8tDXl6e4nlmZiYA4NGjR5DJZG94Bhp6lv12jqMticCTJ0/w8BkgFXr/u0bVw4e6bY/9oD32Qdmgy35gH5QM+0D/2Af6p+vfCcXIzn7RR0KI11cWenTnzh0BQBw+fFipfMKECaJly5Zq95FKpWLdunVKZbGxsaJq1apq60dGRgoAfPDBBx988MEHH3wY2OPWrVuvzSf1OjL7NkRERCiN5Mrlcjx69AjvvPMOJBKJHiPTv6ysLLi6uuLWrVuwsbHRdzgVFvtB/9gH+sc+0D/2gf6xD/4hhEB2djacnZ1fW1evyayDgwOMjY2Rnp6uVJ6eng5HR0e1+zg6OmpV39TUFKampkpldnZ2JQ+6HLKxsanwb5qygP2gf+wD/WMf6B/7QP/YBy/Y2tpqVE+vEzJMTEzg4+ODhIQERZlcLkdCQgL8/PzU7uPn56dUHwDi4+OLrE9ERERE5ZfepxmEh4cjODgYzZs3R8uWLbFw4ULk5uYiJCQEANC/f3+4uLhg9uzZAIAxY8agXbt2mDdvHrp3747169fjxIkT+PHHH/V5GkRERESkB3pPZnv16oX79+9j6tSpSEtLQ9OmTbFr1y5Uq1YNAHDz5k0YGf0zgNyqVSusW7cOkydPxldffYW6detiy5YtaNSokb5OwWCZmpoiMjJSZRoGvV3sB/1jH+gf+0D/2Af6xz4oGYkQmqx5QERERERU9pTBRcyIiIiIiDTDZJaIiIiIDBaTWSIiIiIyWExmiYiIiMhgMZmtwGJjY+Hm5gYzMzP4+vri2LFj+g6pQjlw4ACCgoLg7OwMiUSCLVu26DukCmX27Nlo0aIFrK2tUbVqVfTs2RMXL17Ud1gVzpIlS9CkSRPFIvF+fn7YuXOnvsOqsObMmQOJRIKwsDB9h1KhREVFQSKRKD08PT31HZbBYDJbQf3yyy8IDw9HZGQkTp48CS8vLwQGBiIjI0PfoVUYubm58PLyQmxsrL5DqZD279+P0NBQHDlyBPHx8ZDJZOjcuTNyc3P1HVqFUr16dcyZMwfJyck4ceIEOnbsiA8++ADnzp3Td2gVzvHjx7Fs2TI0adJE36FUSA0bNsS9e/cUjz///FPfIRkMLs1VQfn6+qJFixaIiYkB8OLOa66urhg1ahQmTZqk5+gqHolEgs2bN6Nnz576DqXCun//PqpWrYr9+/ejbdu2+g6nQrO3t8fcuXMxaNAgfYdSYeTk5KBZs2ZYvHgxZsyYgaZNm2LhwoX6DqvCiIqKwpYtW5CSkqLvUAwSR2YroPz8fCQnJ8Pf319RZmRkBH9/fyQlJekxMiL9yczMBPAikSL9KCgowPr165Gbm8tblL9loaGh6N69u9LvBXq7Ll++DGdnZ7i7u6Nv3764efOmvkMyGHq/Axi9fQ8ePEBBQYHiLmuFqlWrhgsXLugpKiL9kcvlCAsLQ+vWrXk3QT04c+YM/Pz88OzZM1hZWWHz5s1o0KCBvsOqMNavX4+TJ0/i+PHj+g6lwvL19cXq1atRr1493Lt3D9HR0WjTpg3Onj0La2trfYdX5jGZJaIKLzQ0FGfPnuUcNT2pV68eUlJSkJmZiQ0bNiA4OBj79+9nQvsW3Lp1C2PGjEF8fDzMzMz0HU6F1bVrV8X/mzRpAl9fX9SsWRO//vorp9togMlsBeTg4ABjY2Okp6crlaenp8PR0VFPURHpx8iRI7Ft2zYcOHAA1atX13c4FZKJiQnq1KkDAPDx8cHx48fx/fffY9myZXqOrPxLTk5GRkYGmjVrpigrKCjAgQMHEBMTg7y8PBgbG+sxworJzs4OHh4euHLlir5DMQicM1sBmZiYwMfHBwkJCYoyuVyOhIQEzlOjCkMIgZEjR2Lz5s3Yu3cvatWqpe+Q6P/J5XLk5eXpO4wKoVOnTjhz5gxSUlIUj+bNm6Nv375ISUlhIqsnOTk5uHr1KpycnPQdikHgyGwFFR4ejuDgYDRv3hwtW7bEwoULkZubi5CQEH2HVmHk5OQo/dWdmpqKlJQU2Nvbo0aNGnqMrGIIDQ3FunXrsHXrVlhbWyMtLQ0AYGtrC3Nzcz1HV3FERESga9euqFGjBrKzs7Fu3TokJibijz/+0HdoFYK1tbXKPHFLS0u88847nD/+Fo0fPx5BQUGoWbMm7t69i8jISBgbG6N37976Ds0gMJmtoHr16oX79+9j6tSpSEtLQ9OmTbFr1y6VL4VR6Tlx4gQ6dOigeB4eHg4ACA4OxurVq/UUVcWxZMkSAED79u2VyuPi4jBgwIC3H1AFlZGRgf79++PevXuwtbVFkyZN8McffyAgIEDfoRG9Nbdv30bv3r3x8OFDVKlSBe+99x6OHDmCKlWq6Ds0g8B1ZomIiIjIYHHOLBEREREZLCazRERERGSwmMwSERERkcFiMktEREREBovJLBEREREZLCazRERERGSwmMwSERERkcFiMktEREREBovJLBGRDqWlpSEgIACWlpaws7MrskwikWDLli0atRkVFYWmTZuWSrxvS/v27REWFqbvMIioHGIyS0QVQlpaGkaNGgV3d3eYmprC1dUVQUFBSEhI0OlxFixYgHv37iElJQWXLl0qsuzevXvo2rWrRm2OHz9e53GuXr1akVjroh4Rkb5U0ncARESl7fr162jdujXs7Owwd+5cNG7cGDKZDH/88QdCQ0Nx4cIFnR3r6tWr8PHxQd26dYstc3R01LhNKysrWFlZ6SxGIqLyhCOzRFTujRgxAhKJBMeOHcPHH38MDw8PNGzYEOHh4Thy5Iii3s2bN/HBBx/AysoKNjY2+Oyzz5Cenq7U1tatW9GsWTOYmZnB3d0d0dHReP78OQDAzc0NGzduxE8//QSJRIIBAwaoLQNUpxncvn0bvXv3hr29PSwtLdG8eXMcPXoUgPppBitWrED9+vVhZmYGT09PLF68WLHt+vXrkEgk2LRpEzp06AALCwt4eXkhKSkJAJCYmIiQkBBkZmZCIpFAIpEgKipKo2tZGMvatWvh5uYGW1tbfP7558jOzlbUyc3NRf/+/WFlZQUnJyfMmzdPpZ28vDyMHz8eLi4usLS0hK+vLxITEwEAz549Q8OGDTF06FBF/atXr8La2hqrVq3SKE4iqkAEEVE59vDhQyGRSMSsWbOKrVdQUCCaNm0q3nvvPXHixAlx5MgR4ePjI9q1a6eoc+DAAWFjYyNWr14trl69Knbv3i3c3NxEVFSUEEKIjIwM0aVLF/HZZ5+Je/fuicePH6stE0IIAGLz5s1CCCGys7OFu7u7aNOmjTh48KC4fPmy+OWXX8Thw4eFEEJERkYKLy8vRRw///yzcHJyEhs3bhTXrl0TGzduFPb29mL16tVCCCFSU1MFAOHp6Sm2bdsmLl68KD755BNRs2ZNIZPJRF5enli4cKGwsbER9+7dE/fu3RPZ2dlqr0tcXJywtbVVPI+MjBRWVlbio48+EmfOnBEHDhwQjo6O4quvvlLUGT58uKhRo4bYs2eP+Ouvv0SPHj2EtbW1GDNmjKLO4MGDRatWrcSBAwfElStXxNy5c4Wpqam4dOmSEEKIU6dOCRMTE7Flyxbx/Plz8e6774oPP/yw2D4kooqJySwRlWtHjx4VAMSmTZuKrbd7925hbGwsbt68qSg7d+6cACCOHTsmhBCiU6dOKknx2rVrhZOTk+L5Bx98IIKDg5XqqCt7OZldtmyZsLa2Fg8fPlQb26vJbO3atcW6deuU6kyfPl34+fkJIf5JZlesWKFyLufPnxdCqCapRVGXzFpYWIisrCxF2YQJE4Svr68Q4kVibmJiIn799VfF9ocPHwpzc3NFMnvjxg1hbGws7ty5o3SsTp06iYiICMXzb7/9Vjg4OIiRI0cKJycn8eDBg9fGS0QVD+fMElG5JoTQqN758+fh6uoKV1dXRVmDBg1gZ2eH8+fPo0WLFjh9+jQOHTqEmTNnKuoUFBTg2bNnePLkCSwsLEoUY0pKCry9vWFvb//aurm5ubh69SoGDRqEIUOGKMqfP38OW1tbpbpNmjRR/N/JyQkAkJGRAU9PzxLFWcjNzQ3W1tZKbWdkZAB4MR0gPz8fvr6+iu329vaoV6+e4vmZM2dQUFAADw8PpXbz8vLwzjvvKJ6PGzcOW7ZsQUxMDHbu3Km0jYioEJNZIirX6tatC4lEopMveeXk5CA6OhofffSRyjYzM7MSt2tubq5VDACwfPlypYQRAIyNjZWeS6VSxf8lEgkAQC6XlzRMte0Wtq1Nuzk5OTA2NkZycrJKzC9/0S0jIwOXLl2CsbExLl++jC5durxZ4ERULvELYERUrtnb2yMwMBCxsbHIzc1V2f748WMAQP369XHr1i3cunVLse1///sfHj9+jAYNGgAAmjVrhosXL6JOnToqDyOjkv84bdKkCVJSUvDo0aPX1q1WrRqcnZ1x7do1lRhq1aql8TFNTExQUFBQ4piLUrt2bUilUsWX1wDg77//VixJBgDe3t4oKChARkaGyjm8vMrDwIED0bhxY6xZswZffvklzp8/r/N4icjwcWSWiMq92NhYtG7dGi1btsS0adPQpEkTPH/+HPHx8ViyZAnOnz8Pf39/NG7cGH379sXChQvx/PlzjBgxAu3atUPz5s0BAFOnTkWPHj1Qo0YNfPLJJzAyMsLp06dx9uxZzJgxo8Tx9e7dG7NmzULPnj0xe/ZsODk54dSpU3B2doafn59K/ejoaIwePRq2trbo0qUL8vLycOLECfz9998IDw/X6Jhubm7IyclBQkICvLy8YGFhUeJpEi+zsrLCoEGDMGHCBLzzzjuoWrUqvv76a6Vk38PDA3379kX//v0xb948eHt74/79+0hISECTJk3QvXt3xMbGIikpCX/99RdcXV2xfft29O3bF0eOHIGJickbx0lE5QdHZomo3HN3d8fJkyfRoUMHjBs3Do0aNUJAQAASEhKwZMkSAC8+Kt+6dSsqV66Mtm3bwt/fH+7u7vjll18U7QQGBmLbtm3YvXs3WrRogXfffRcLFixAzZo13yg+ExMT7N69G1WrVkW3bt3QuHFjzJkzR+Uj+EKDBw/GihUrEBcXh8aNG6Ndu3ZYvXq1ViOzrVq1wrBhw9CrVy9UqVIF33777Rudw8vmzp2LNm3aICgoCP7+/njvvffg4+OjVCcuLg79+/fHuHHjUK9ePfTs2RPHjx9HjRo1cOHCBUyYMAGLFy9WzGFevHgxHjx4gClTpugsTiIqHyRC029HEBERERGVMRyZJSIiIiKDxWSWiIiIiAwWk1kiIiIiMlhMZomIiIjIYDGZJSIiIiKDxWSWiIiIiAwWk1kiIiIiMlhMZomIiIjIYDGZJSIiIiKDxWSWiIiIiAwWk1kiIiIiMlj/B6odbg8ghc4ZAAAAAElFTkSuQmCC", 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" ] @@ -263,6 +262,10 @@ "accuracy_ccd = accuracy_score(y_test, y_pred_ccd)\n", "beta_ccd = model_ccd.best_beta\n", "\n", + "# Print betas\n", + "print(\"Beta CCD:\", beta_ccd)\n", + "print(\"Beta sklearn\", beta_sklearn)\n", + "\n", "# Accuracies\n", "df_accuracy = pd.DataFrame({\n", " \"Model\": [\"LogisticRegression\", \"LogRegCCD\"],\n", @@ -304,12 +307,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "Best lambda: 0.016010097693618938\n" + "Best lambda: 0.013924766500838345\n" ] }, { "data": { - "image/png": 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", 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From 0d4db0d1567bf3bedfdb4a39254c1d201318ff1c Mon Sep 17 00:00:00 2001 From: Weronika Gozdera Date: Mon, 31 Mar 2025 19:41:10 +0200 Subject: [PATCH 9/9] Typo --- notebooks/experiments/synthetic_data/synthetic_data.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/notebooks/experiments/synthetic_data/synthetic_data.ipynb b/notebooks/experiments/synthetic_data/synthetic_data.ipynb index 629326b..b32772d 100644 --- a/notebooks/experiments/synthetic_data/synthetic_data.ipynb +++ b/notebooks/experiments/synthetic_data/synthetic_data.ipynb @@ -9,12 +9,12 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import os\n", - "if not os.path.exists(\"./notebooks/experiments/synthetic_data\"):\n", + "if not os.path.exists(\"./notebooks\"):\n", " %cd ..\n", " %cd ..\n", " %cd ..\n",