Run
7951668

Run 7951668

Task 119 (Learning Curve) zoo Uploaded 16-10-2017 by Toon Van Craenendonck
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TESTbd1cdc339dsklearn.model_selection._search.GridSearchCV(estimator=sklear n.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC ))(1)Automatically created scikit-learn flow.
TESTbd1cdc339dsklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_cvnull
TESTbd1cdc339dsklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_error_score"raise"
TESTbd1cdc339dsklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_fit_params{}
TESTbd1cdc339dsklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_iidtrue
TESTbd1cdc339dsklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_n_jobs1
TESTbd1cdc339dsklearn.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]}
TESTbd1cdc339dsklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_pre_dispatch"2*n_jobs"
TESTbd1cdc339dsklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_refittrue
TESTbd1cdc339dsklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_return_train_scoretrue
TESTbd1cdc339dsklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_scoringnull
TESTbd1cdc339dsklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_verbose0
TESTbd1cdc339dsklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_bootstraptrue
TESTbd1cdc339dsklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_bootstrap_featuresfalse
TESTbd1cdc339dsklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_max_features1.0
TESTbd1cdc339dsklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_max_samples1.0
TESTbd1cdc339dsklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_n_estimators10
TESTbd1cdc339dsklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_n_jobs1
TESTbd1cdc339dsklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_oob_scorefalse
TESTbd1cdc339dsklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_random_state33003
TESTbd1cdc339dsklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_verbose0
TESTbd1cdc339dsklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_warm_startfalse
TESTbd1cdc339dsklearn.svm.classes.SVC(1)_C1.0
TESTbd1cdc339dsklearn.svm.classes.SVC(1)_cache_size200
TESTbd1cdc339dsklearn.svm.classes.SVC(1)_class_weightnull
TESTbd1cdc339dsklearn.svm.classes.SVC(1)_coef00.0
TESTbd1cdc339dsklearn.svm.classes.SVC(1)_decision_function_shapenull
TESTbd1cdc339dsklearn.svm.classes.SVC(1)_degree3
TESTbd1cdc339dsklearn.svm.classes.SVC(1)_gamma"auto"
TESTbd1cdc339dsklearn.svm.classes.SVC(1)_kernel"rbf"
TESTbd1cdc339dsklearn.svm.classes.SVC(1)_max_iter-1
TESTbd1cdc339dsklearn.svm.classes.SVC(1)_probabilityfalse
TESTbd1cdc339dsklearn.svm.classes.SVC(1)_random_state62501
TESTbd1cdc339dsklearn.svm.classes.SVC(1)_shrinkingtrue
TESTbd1cdc339dsklearn.svm.classes.SVC(1)_tol0.001
TESTbd1cdc339dsklearn.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.

17 Evaluation measures

Area under ROC curve
0.9951 ± 0.0154
Per class
F measure
0.9583
Per class
Kappa
0.9478 ± 0.0739
KB relative information score
929.447 ± 0.7282
Mean absolute error
0.0165 ± 0.0141
Mean prior absolute error
0.2188 ± 0.0049
Number of instances
1010
Per class
Precision
0.959
Per class
Predictive accuracy
0.9604 ± 0.057
Prior entropy
2.4427
Recall
0.9604 ± 0.057
Per class
Relative absolute error
0.0756 ± 0.0633
Root mean prior squared error
0.3294 ± 0.0075
Root mean squared error
0.0927 ± 0.0599
Root relative squared error
0.2815 ± 0.1792