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8885692
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Run 8885692
Task 167132 (Supervised Classification)
Speech
Uploaded 15-03-2018 by
Ji Zhang
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Evaluation Engine Exception: Run description file not present.
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By
Flow
sklearn.pipeline.Pipeline(feature_select=sklearn.feature_selection.from_mod el.SelectFromModel(estimator=sklearn.ensemble.forest.RandomForestClassifier ),classifier=sklearn.svm.classes.SVC)(2)
Automatically created scikit-learn flow.
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200
sklearn.svm.classes.SVC(16)_class_weight
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sklearn.svm.classes.SVC(16)_coef0
0.0
sklearn.svm.classes.SVC(16)_decision_function_shape
"ovr"
sklearn.svm.classes.SVC(16)_degree
3
sklearn.svm.classes.SVC(16)_gamma
"auto"
sklearn.svm.classes.SVC(16)_kernel
"rbf"
sklearn.svm.classes.SVC(16)_max_iter
-1
sklearn.svm.classes.SVC(16)_probability
false
sklearn.svm.classes.SVC(16)_random_state
57907
sklearn.svm.classes.SVC(16)_shrinking
true
sklearn.svm.classes.SVC(16)_tol
0.001
sklearn.svm.classes.SVC(16)_verbose
false
sklearn.ensemble.forest.RandomForestClassifier(32)_bootstrap
true
sklearn.ensemble.forest.RandomForestClassifier(32)_class_weight
null
sklearn.ensemble.forest.RandomForestClassifier(32)_criterion
"entropy"
sklearn.ensemble.forest.RandomForestClassifier(32)_max_depth
null
sklearn.ensemble.forest.RandomForestClassifier(32)_max_features
"auto"
sklearn.ensemble.forest.RandomForestClassifier(32)_max_leaf_nodes
null
sklearn.ensemble.forest.RandomForestClassifier(32)_min_impurity_decrease
0.0
sklearn.ensemble.forest.RandomForestClassifier(32)_min_impurity_split
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sklearn.ensemble.forest.RandomForestClassifier(32)_min_samples_leaf
1
sklearn.ensemble.forest.RandomForestClassifier(32)_min_samples_split
2
sklearn.ensemble.forest.RandomForestClassifier(32)_min_weight_fraction_leaf
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sklearn.ensemble.forest.RandomForestClassifier(32)_n_estimators
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sklearn.ensemble.forest.RandomForestClassifier(32)_n_jobs
1
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sklearn.ensemble.forest.RandomForestClassifier(32)_random_state
1
sklearn.ensemble.forest.RandomForestClassifier(32)_verbose
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sklearn.ensemble.forest.RandomForestClassifier(32)_warm_start
false
sklearn.pipeline.Pipeline(feature_select=sklearn.feature_selection.from_model.SelectFromModel(estimator=sklearn.ensemble.forest.RandomForestClassifier),classifier=sklearn.svm.classes.SVC)(2)_memory
null
sklearn.feature_selection.from_model.SelectFromModel(estimator=sklearn.ensemble.forest.RandomForestClassifier)(2)_norm_order
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sklearn.feature_selection.from_model.SelectFromModel(estimator=sklearn.ensemble.forest.RandomForestClassifier)(2)_prefit
false
sklearn.feature_selection.from_model.SelectFromModel(estimator=sklearn.ensemble.forest.RandomForestClassifier)(2)_threshold
null
Result files
0 Evaluation measures