Remove epsilon dataset usage for ml_benchmarks

ethanglaser · ethanglaser · commit becce41ccb96 · 2025-11-11T17:21:23.000-08:00
diff --git a/configs/regular/svm.json b/configs/regular/svm.json
@@ -14,10 +14,6 @@
                 "data": { "dataset": "ijcnn", "split_kwargs": { "train_size": 20000, "test_size": null } },
                 "algorithm": { "estimator_params": { "C": 100.0, "kernel": "rbf" } }
             },
-            {
-                "data": { "dataset": "epsilon", "split_kwargs": { "train_size": 10000, "test_size": 10000 } },
-                "algorithm": { "estimator_params": { "C": 1.0, "kernel": ["poly", "rbf"] } }
-            },
             {
                 "data": { "dataset": "gisette", "preprocessing_kwargs": { "normalize": false } },
                 "algorithm": {
diff --git a/configs/regular/train_test_split.json b/configs/regular/train_test_split.json
@@ -10,7 +10,6 @@
                         "susy",
                         "sift",
                         "gist",
-                        "epsilon",
                         "svhn"
                     ]
                 }
diff --git a/configs/regular/xgboost_binary.json b/configs/regular/xgboost_binary.json
@@ -42,23 +42,6 @@
                     }
                 }
             },
-            {
-                "data": {
-                    "dataset": "epsilon",
-                    "split_kwargs": {
-                        "train_size": 10000,
-                        "test_size": 100000
-                    }
-                },
-                "algorithm": {
-                    "estimator_params": {
-                        "max_depth": 8,
-                        "colsample_bytree": 0.1,
-                        "colsample_bynode": 0.1,
-                        "n_estimators": 200
-                    }
-                }
-            },
             {
                 "data": {
                     "dataset": "gisette",
diff --git a/configs/weekly/linear_model.json b/configs/weekly/linear_model.json
@@ -25,7 +25,6 @@
             {
                 "data": {
                     "dataset": [
-                        "epsilon",
                         "yolanda",
                         "hepmass",
                         "susy"
diff --git a/configs/weekly/pca.json b/configs/weekly/pca.json
@@ -15,7 +15,7 @@
             },
             {
                 "data": {
-                    "dataset": ["airline_depdelay", "epsilon"],
+                    "dataset": ["airline_depdelay"],
                     "split_kwargs": { "ignore": true }
                 }
             }
diff --git a/configs/weekly/svm.json b/configs/weekly/svm.json
@@ -13,10 +13,6 @@
             {
                 "data": { "dataset": "ijcnn", "split_kwargs": { "ignore": true } },
                 "algorithm": { "estimator_params": { "C": 100.0, "kernel": "rbf" } }
-            },
-            {
-                "data": { "dataset": "epsilon", "split_kwargs": { "train_size": 100000, "test_size": 100000 } },
-                "algorithm": { "estimator_params": { "C": 1.0, "kernel": ["poly", "rbf"] } }
             }
         ],
         "high-load svc multiclass datasets": [

Original file line number	Diff line number	Diff line change
`@@ -10,7 +10,6 @@`
`10`	`10`	`"susy",`
`11`	`11`	`"sift",`
`12`	`12`	`"gist",`
`13`		`- "epsilon",`
`14`	`13`	`"svhn"`
`15`	`14`	`]`
`16`	`15`	`}`
Original file line number	Diff line number	Diff line change
`@@ -25,7 +25,6 @@`
`25`	`25`	`{`
`26`	`26`	`"data": {`
`27`	`27`	`"dataset": [`
`28`		`- "epsilon",`
`29`	`28`	`"yolanda",`
`30`	`29`	`"hepmass",`
`31`	`30`	`"susy"`
Original file line number	Diff line number	Diff line change
`@@ -15,7 +15,7 @@`
`15`	`15`	`},`
`16`	`16`	`{`
`17`	`17`	`"data": {`
`18`		`- "dataset": ["airline_depdelay", "epsilon"],`
	`18`	`+ "dataset": ["airline_depdelay"],`
`19`	`19`	`"split_kwargs": { "ignore": true }`
`20`	`20`	`}`
`21`	`21`	`}`
Original file line number	Diff line number	Diff line change
`@@ -13,10 +13,6 @@`
`13`	`13`	`{`
`14`	`14`	`"data": { "dataset": "ijcnn", "split_kwargs": { "ignore": true } },`
`15`	`15`	`"algorithm": { "estimator_params": { "C": 100.0, "kernel": "rbf" } }`
`16`		`- },`
`17`		`- {`
`18`		`- "data": { "dataset": "epsilon", "split_kwargs": { "train_size": 100000, "test_size": 100000 } },`
`19`		`- "algorithm": { "estimator_params": { "C": 1.0, "kernel": ["poly", "rbf"] } }`
`20`	`16`	`}`
`21`	`17`	`],`
`22`	`18`	`"high-load svc multiclass datasets": [`