Run
9187

Run 9187

Task 119 (Supervised Classification) diabetes Uploaded 25-11-2022 by Continuous Integration
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TEST8a7717b37fsklearn.model_selection._search.GridSearchCV(estimator=sklear n.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC ))(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.
TEST8a7717b37fsklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_cv3
TEST8a7717b37fsklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_error_score"raise"
TEST8a7717b37fsklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_fit_params{}
TEST8a7717b37fsklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_iidtrue
TEST8a7717b37fsklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_n_jobs1
TEST8a7717b37fsklearn.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]}
TEST8a7717b37fsklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_pre_dispatch"2*n_jobs"
TEST8a7717b37fsklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_refittrue
TEST8a7717b37fsklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_return_train_scoretrue
TEST8a7717b37fsklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_scoringnull
TEST8a7717b37fsklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_verbose0
TEST8a7717b37fsklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_bootstraptrue
TEST8a7717b37fsklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_bootstrap_featuresfalse
TEST8a7717b37fsklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_max_features1.0
TEST8a7717b37fsklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_max_samples1.0
TEST8a7717b37fsklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_n_estimators10
TEST8a7717b37fsklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_n_jobs1
TEST8a7717b37fsklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_oob_scorefalse
TEST8a7717b37fsklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_random_state33003
TEST8a7717b37fsklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_verbose0
TEST8a7717b37fsklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_warm_startfalse
TEST8a7717b37fsklearn.svm.classes.SVC(1)_C1.0
TEST8a7717b37fsklearn.svm.classes.SVC(1)_cache_size200
TEST8a7717b37fsklearn.svm.classes.SVC(1)_class_weightnull
TEST8a7717b37fsklearn.svm.classes.SVC(1)_coef00.0
TEST8a7717b37fsklearn.svm.classes.SVC(1)_decision_function_shapenull
TEST8a7717b37fsklearn.svm.classes.SVC(1)_degree3
TEST8a7717b37fsklearn.svm.classes.SVC(1)_gamma"auto"
TEST8a7717b37fsklearn.svm.classes.SVC(1)_kernel"rbf"
TEST8a7717b37fsklearn.svm.classes.SVC(1)_max_iter-1
TEST8a7717b37fsklearn.svm.classes.SVC(1)_probabilityfalse
TEST8a7717b37fsklearn.svm.classes.SVC(1)_random_state62501
TEST8a7717b37fsklearn.svm.classes.SVC(1)_shrinkingtrue
TEST8a7717b37fsklearn.svm.classes.SVC(1)_tol0.001
TEST8a7717b37fsklearn.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.

18 Evaluation measures