student_intervention_MachineLearning/scripts.py at master · dataScientist11/student_intervention_MachineLearning · GitHub

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GaussianNB:

Training a GaussianNB using a training set size of 100. . .
Trained model in 0.0032 seconds
Made predictions in 0.0009 seconds.
F1 score for training set: 0.8550.
Made predictions in 0.0007 seconds.
F1 score for test set: 0.7481.
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Training a GaussianNB using a training set size of 200. . .
Trained model in 0.0025 seconds
Made predictions in 0.0010 seconds.
F1 score for training set: 0.8321.
Made predictions in 0.0008 seconds.
F1 score for test set: 0.7132.
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Training a GaussianNB using a training set size of 300. . .
Trained model in 0.0027 seconds
Made predictions in 0.0012 seconds.
F1 score for training set: 0.8088.
Made predictions in 0.0008 seconds.
F1 score for test set: 0.7500.
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DecisionTreeClassifier:

Training a DecisionTreeClassifier using a training set size of 100. . .
Trained model in 0.0025 seconds
Made predictions in 0.0003 seconds.
F1 score for training set: 1.0000.
Made predictions in 0.0003 seconds.
F1 score for test set: 0.6942.
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Training a DecisionTreeClassifier using a training set size of 200. . .
Trained model in 0.0046 seconds
Made predictions in 0.0003 seconds.
F1 score for training set: 1.0000.
Made predictions in 0.0003 seconds.
F1 score for test set: 0.7132.
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Training a DecisionTreeClassifier using a training set size of 300. . .
Trained model in 0.0067 seconds
Made predictions in 0.0005 seconds.
F1 score for training set: 1.0000.
Made predictions in 0.0002 seconds.
F1 score for test set: 0.7167.
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SVC:

Training a SVC using a training set size of 100. . .
Trained model in 0.0031 seconds
Made predictions in 0.0021 seconds.
F1 score for training set: 0.8591.
Made predictions in 0.0019 seconds.
F1 score for test set: 0.7838.
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Training a SVC using a training set size of 200. . .
Trained model in 0.0094 seconds
Made predictions in 0.0069 seconds.
F1 score for training set: 0.8693.
Made predictions in 0.0034 seconds.
F1 score for test set: 0.7755.
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Training a SVC using a training set size of 300. . .
Trained model in 0.0193 seconds
Made predictions in 0.0158 seconds.
F1 score for training set: 0.8692.
Made predictions in 0.0047 seconds.
F1 score for test set: 0.7586.
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