Run
8149022

Run 8149022

Task 119 (Learning Curve) zoo Uploaded 18-10-2017 by Toon Van Craenendonck
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Flow

TEST1d4eae7525sklearn.model_selection._search.GridSearchCV(estimator=sklear n.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC ))(1)Automatically created scikit-learn flow.
TEST1d4eae7525sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_cvnull
TEST1d4eae7525sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_error_score"raise"
TEST1d4eae7525sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_fit_params{}
TEST1d4eae7525sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_iidtrue
TEST1d4eae7525sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_n_jobs1
TEST1d4eae7525sklearn.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]}
TEST1d4eae7525sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_pre_dispatch"2*n_jobs"
TEST1d4eae7525sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_refittrue
TEST1d4eae7525sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_return_train_scoretrue
TEST1d4eae7525sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_scoringnull
TEST1d4eae7525sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_verbose0
TEST1d4eae7525sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_bootstraptrue
TEST1d4eae7525sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_bootstrap_featuresfalse
TEST1d4eae7525sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_max_features1.0
TEST1d4eae7525sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_max_samples1.0
TEST1d4eae7525sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_n_estimators10
TEST1d4eae7525sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_n_jobs1
TEST1d4eae7525sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_oob_scorefalse
TEST1d4eae7525sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_random_state33003
TEST1d4eae7525sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_verbose0
TEST1d4eae7525sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_warm_startfalse
TEST1d4eae7525sklearn.svm.classes.SVC(1)_C1.0
TEST1d4eae7525sklearn.svm.classes.SVC(1)_cache_size200
TEST1d4eae7525sklearn.svm.classes.SVC(1)_class_weightnull
TEST1d4eae7525sklearn.svm.classes.SVC(1)_coef00.0
TEST1d4eae7525sklearn.svm.classes.SVC(1)_decision_function_shapenull
TEST1d4eae7525sklearn.svm.classes.SVC(1)_degree3
TEST1d4eae7525sklearn.svm.classes.SVC(1)_gamma"auto"
TEST1d4eae7525sklearn.svm.classes.SVC(1)_kernel"rbf"
TEST1d4eae7525sklearn.svm.classes.SVC(1)_max_iter-1
TEST1d4eae7525sklearn.svm.classes.SVC(1)_probabilityfalse
TEST1d4eae7525sklearn.svm.classes.SVC(1)_random_state62501
TEST1d4eae7525sklearn.svm.classes.SVC(1)_shrinkingtrue
TEST1d4eae7525sklearn.svm.classes.SVC(1)_tol0.001
TEST1d4eae7525sklearn.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