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Task 119 (Supervised Classification) diabetes Uploaded 17-10-2024 by Continuous Integration
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TESTf4a5e42316sklearn.model_selection._search.GridSearchCV(estimator=sklear n.ensemble._bagging.BaggingClassifier(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 "score_samples", "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.
TESTf4a5e42316sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble._bagging.BaggingClassifier(estimator=sklearn.svm._classes.SVC))(1)_cv	3
TESTf4a5e42316sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble._bagging.BaggingClassifier(estimator=sklearn.svm._classes.SVC))(1)_error_score	NaN
TESTf4a5e42316sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble._bagging.BaggingClassifier(estimator=sklearn.svm._classes.SVC))(1)_n_jobs	null
TESTf4a5e42316sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble._bagging.BaggingClassifier(estimator=sklearn.svm._classes.SVC))(1)_param_grid	{"estimator__C": [0.01, 0.1, 10], "estimator__gamma": [0.01, 0.1, 10]}
TESTf4a5e42316sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble._bagging.BaggingClassifier(estimator=sklearn.svm._classes.SVC))(1)_pre_dispatch	"2*n_jobs"
TESTf4a5e42316sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble._bagging.BaggingClassifier(estimator=sklearn.svm._classes.SVC))(1)_refit	true
TESTf4a5e42316sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble._bagging.BaggingClassifier(estimator=sklearn.svm._classes.SVC))(1)_return_train_score	false
TESTf4a5e42316sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble._bagging.BaggingClassifier(estimator=sklearn.svm._classes.SVC))(1)_scoring	null
TESTf4a5e42316sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble._bagging.BaggingClassifier(estimator=sklearn.svm._classes.SVC))(1)_verbose	0
TESTf4a5e42316sklearn.ensemble._bagging.BaggingClassifier(estimator=sklearn.svm._classes.SVC)(1)_bootstrap	true
TESTf4a5e42316sklearn.ensemble._bagging.BaggingClassifier(estimator=sklearn.svm._classes.SVC)(1)_bootstrap_features	false
TESTf4a5e42316sklearn.ensemble._bagging.BaggingClassifier(estimator=sklearn.svm._classes.SVC)(1)_max_features	1.0
TESTf4a5e42316sklearn.ensemble._bagging.BaggingClassifier(estimator=sklearn.svm._classes.SVC)(1)_max_samples	1.0
TESTf4a5e42316sklearn.ensemble._bagging.BaggingClassifier(estimator=sklearn.svm._classes.SVC)(1)_n_estimators	10
TESTf4a5e42316sklearn.ensemble._bagging.BaggingClassifier(estimator=sklearn.svm._classes.SVC)(1)_n_jobs	null
TESTf4a5e42316sklearn.ensemble._bagging.BaggingClassifier(estimator=sklearn.svm._classes.SVC)(1)_oob_score	false
TESTf4a5e42316sklearn.ensemble._bagging.BaggingClassifier(estimator=sklearn.svm._classes.SVC)(1)_random_state	33003
TESTf4a5e42316sklearn.ensemble._bagging.BaggingClassifier(estimator=sklearn.svm._classes.SVC)(1)_verbose	0
TESTf4a5e42316sklearn.ensemble._bagging.BaggingClassifier(estimator=sklearn.svm._classes.SVC)(1)_warm_start	false
TESTf4a5e42316sklearn.svm._classes.SVC(1)_C	1.0
TESTf4a5e42316sklearn.svm._classes.SVC(1)_break_ties	false
TESTf4a5e42316sklearn.svm._classes.SVC(1)_cache_size	200
TESTf4a5e42316sklearn.svm._classes.SVC(1)_class_weight	null
TESTf4a5e42316sklearn.svm._classes.SVC(1)_coef0	0.0
TESTf4a5e42316sklearn.svm._classes.SVC(1)_decision_function_shape	"ovr"
TESTf4a5e42316sklearn.svm._classes.SVC(1)_degree	3
TESTf4a5e42316sklearn.svm._classes.SVC(1)_gamma	"scale"
TESTf4a5e42316sklearn.svm._classes.SVC(1)_kernel	"rbf"
TESTf4a5e42316sklearn.svm._classes.SVC(1)_max_iter	-1
TESTf4a5e42316sklearn.svm._classes.SVC(1)_probability	false
TESTf4a5e42316sklearn.svm._classes.SVC(1)_random_state	62501
TESTf4a5e42316sklearn.svm._classes.SVC(1)_shrinking	true
TESTf4a5e42316sklearn.svm._classes.SVC(1)_tol	0.001
TESTf4a5e42316sklearn.svm._classes.SVC(1)_verbose	false