Run
18028

Run 18028

Task 119 (Supervised Classification) diabetes Uploaded 12-11-2019 by Continuous Integration
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  • openml-python Sklearn_0.22.dev0.
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Flow

TEST7d8519105dsklearn.model_selection._search.GridSearchCV(estimator=sklear n.ensemble._bagging.BaggingClassifier(base_estimator=sklearn.svm._classes.S VC))(1)Exhaustive search over specified parameter values for an estimator. Important members are fit, predict. GridSearchCV implements a "fit" and a "score" method. It also implements "predict", "predict_proba", "decision_function", "transform" and "inverse_transform" if they are implemented in the estimator used. The parameters of the estimator used to apply these methods are optimized by cross-validated grid-search over a parameter grid.
TEST7d8519105dsklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble._bagging.BaggingClassifier(base_estimator=sklearn.svm._classes.SVC))(1)_cvnull
TEST7d8519105dsklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble._bagging.BaggingClassifier(base_estimator=sklearn.svm._classes.SVC))(1)_error_scoreNaN
TEST7d8519105dsklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble._bagging.BaggingClassifier(base_estimator=sklearn.svm._classes.SVC))(1)_iid"deprecated"
TEST7d8519105dsklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble._bagging.BaggingClassifier(base_estimator=sklearn.svm._classes.SVC))(1)_n_jobsnull
TEST7d8519105dsklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble._bagging.BaggingClassifier(base_estimator=sklearn.svm._classes.SVC))(1)_param_grid{"base_estimator__C": [0.01, 0.1, 10], "base_estimator__gamma": [0.01, 0.1, 10]}
TEST7d8519105dsklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble._bagging.BaggingClassifier(base_estimator=sklearn.svm._classes.SVC))(1)_pre_dispatch"2*n_jobs"
TEST7d8519105dsklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble._bagging.BaggingClassifier(base_estimator=sklearn.svm._classes.SVC))(1)_refittrue
TEST7d8519105dsklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble._bagging.BaggingClassifier(base_estimator=sklearn.svm._classes.SVC))(1)_return_train_scorefalse
TEST7d8519105dsklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble._bagging.BaggingClassifier(base_estimator=sklearn.svm._classes.SVC))(1)_scoringnull
TEST7d8519105dsklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble._bagging.BaggingClassifier(base_estimator=sklearn.svm._classes.SVC))(1)_verbose0
TEST7d8519105dsklearn.ensemble._bagging.BaggingClassifier(base_estimator=sklearn.svm._classes.SVC)(1)_bootstraptrue
TEST7d8519105dsklearn.ensemble._bagging.BaggingClassifier(base_estimator=sklearn.svm._classes.SVC)(1)_bootstrap_featuresfalse
TEST7d8519105dsklearn.ensemble._bagging.BaggingClassifier(base_estimator=sklearn.svm._classes.SVC)(1)_max_features1.0
TEST7d8519105dsklearn.ensemble._bagging.BaggingClassifier(base_estimator=sklearn.svm._classes.SVC)(1)_max_samples1.0
TEST7d8519105dsklearn.ensemble._bagging.BaggingClassifier(base_estimator=sklearn.svm._classes.SVC)(1)_n_estimators10
TEST7d8519105dsklearn.ensemble._bagging.BaggingClassifier(base_estimator=sklearn.svm._classes.SVC)(1)_n_jobsnull
TEST7d8519105dsklearn.ensemble._bagging.BaggingClassifier(base_estimator=sklearn.svm._classes.SVC)(1)_oob_scorefalse
TEST7d8519105dsklearn.ensemble._bagging.BaggingClassifier(base_estimator=sklearn.svm._classes.SVC)(1)_random_state33003
TEST7d8519105dsklearn.ensemble._bagging.BaggingClassifier(base_estimator=sklearn.svm._classes.SVC)(1)_verbose0
TEST7d8519105dsklearn.ensemble._bagging.BaggingClassifier(base_estimator=sklearn.svm._classes.SVC)(1)_warm_startfalse
TEST7d8519105dsklearn.svm._classes.SVC(1)_C1.0
TEST7d8519105dsklearn.svm._classes.SVC(1)_break_tiesfalse
TEST7d8519105dsklearn.svm._classes.SVC(1)_cache_size200
TEST7d8519105dsklearn.svm._classes.SVC(1)_class_weightnull
TEST7d8519105dsklearn.svm._classes.SVC(1)_coef00.0
TEST7d8519105dsklearn.svm._classes.SVC(1)_decision_function_shape"ovr"
TEST7d8519105dsklearn.svm._classes.SVC(1)_degree3
TEST7d8519105dsklearn.svm._classes.SVC(1)_gamma"scale"
TEST7d8519105dsklearn.svm._classes.SVC(1)_kernel"rbf"
TEST7d8519105dsklearn.svm._classes.SVC(1)_max_iter-1
TEST7d8519105dsklearn.svm._classes.SVC(1)_probabilityfalse
TEST7d8519105dsklearn.svm._classes.SVC(1)_random_state62501
TEST7d8519105dsklearn.svm._classes.SVC(1)_shrinkingtrue
TEST7d8519105dsklearn.svm._classes.SVC(1)_tol0.001
TEST7d8519105dsklearn.svm._classes.SVC(1)_verbosefalse

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

arff
Trace

ARFF file with the trace of all hyperparameter settings tried during optimization, and their performance.

16 Evaluation measures

0.5
Per class
Cross-validation details (10% Holdout set)
0.1787
Cross-validation details (10% Holdout set)
0.3636
Cross-validation details (10% Holdout set)
0.4589
Cross-validation details (10% Holdout set)
0.6364
Cross-validation details (10% Holdout set)
253
Per class
Cross-validation details (10% Holdout set)
0.6364
Cross-validation details (10% Holdout set)
0.9463
Cross-validation details (10% Holdout set)
0.7924
Cross-validation details (10% Holdout set)
0.4813
Cross-validation details (10% Holdout set)
0.603
Cross-validation details (10% Holdout set)
1.253
Cross-validation details (10% Holdout set)
0.5
Cross-validation details (10% Holdout set)