Run
8885127

Run 8885127

Task 167132 (Supervised Classification) Speech Uploaded 13-03-2018 by Bas Bluemink
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Flow

sklearn.ensemble.voting_classifier.VotingClassifier(gb=sklearn.ensemble.gra dient_boosting.GradientBoostingClassifier,svc=sklearn.pipeline.Pipeline(sca ler=sklearn.preprocessing.data.StandardScaler,pca=sklearn.decomposition.pca .PCA,svm=sklearn.svm.classes.SVC))(1)Automatically created scikit-learn flow.
sklearn.preprocessing.data.StandardScaler(5)_copytrue
sklearn.preprocessing.data.StandardScaler(5)_with_meantrue
sklearn.preprocessing.data.StandardScaler(5)_with_stdtrue
sklearn.svm.classes.SVC(16)_C10
sklearn.svm.classes.SVC(16)_cache_size200
sklearn.svm.classes.SVC(16)_class_weightnull
sklearn.svm.classes.SVC(16)_coef00.0
sklearn.svm.classes.SVC(16)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(16)_degree3
sklearn.svm.classes.SVC(16)_gamma1
sklearn.svm.classes.SVC(16)_kernel"linear"
sklearn.svm.classes.SVC(16)_max_iter-1
sklearn.svm.classes.SVC(16)_probabilitytrue
sklearn.svm.classes.SVC(16)_random_state61854
sklearn.svm.classes.SVC(16)_shrinkingtrue
sklearn.svm.classes.SVC(16)_tol0.001
sklearn.svm.classes.SVC(16)_verbosefalse
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_criterion"friedman_mse"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_initnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_learning_rate0.1
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_loss"deviance"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_max_depth3
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_max_featuresnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_max_leaf_nodesnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_min_impurity_decrease0.0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_min_impurity_splitnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_min_samples_leaf1
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_min_samples_split2
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_min_weight_fraction_leaf0.0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_n_estimators150
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_presort"auto"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_random_state8473
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_subsample1.0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_verbose0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_warm_startfalse
sklearn.decomposition.pca.PCA(2)_copytrue
sklearn.decomposition.pca.PCA(2)_iterated_power"auto"
sklearn.decomposition.pca.PCA(2)_n_components5
sklearn.decomposition.pca.PCA(2)_random_state45356
sklearn.decomposition.pca.PCA(2)_svd_solver"auto"
sklearn.decomposition.pca.PCA(2)_tol0.0
sklearn.decomposition.pca.PCA(2)_whitenfalse
sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,pca=sklearn.decomposition.pca.PCA,svm=sklearn.svm.classes.SVC)(1)_memorynull
sklearn.ensemble.voting_classifier.VotingClassifier(gb=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,svc=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,pca=sklearn.decomposition.pca.PCA,svm=sklearn.svm.classes.SVC))(1)_flatten_transformnull
sklearn.ensemble.voting_classifier.VotingClassifier(gb=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,svc=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,pca=sklearn.decomposition.pca.PCA,svm=sklearn.svm.classes.SVC))(1)_n_jobs1
sklearn.ensemble.voting_classifier.VotingClassifier(gb=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,svc=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,pca=sklearn.decomposition.pca.PCA,svm=sklearn.svm.classes.SVC))(1)_voting"soft"
sklearn.ensemble.voting_classifier.VotingClassifier(gb=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,svc=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,pca=sklearn.decomposition.pca.PCA,svm=sklearn.svm.classes.SVC))(1)_weightsnull

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.

17 Evaluation measures

0.6727 ± 0.1277
Per class
Cross-validation details (10-fold Crossvalidation)
0.9743 ± 0.0028
Per class
Cross-validation details (10-fold Crossvalidation)
-0.0034 ± 0.0048
Cross-validation details (10-fold Crossvalidation)
-2199.3133 ± 110.1887
Cross-validation details (10-fold Crossvalidation)
0.0317 ± 0.0029
Cross-validation details (10-fold Crossvalidation)
0.0328 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
3686
Per class
Cross-validation details (10-fold Crossvalidation)
0.9671 ± 0.003
Per class
Cross-validation details (10-fold Crossvalidation)
0.9816 ± 0.0044
Cross-validation details (10-fold Crossvalidation)
0.1231
Cross-validation details (10-fold Crossvalidation)
0.9816 ± 0.0044
Per class
Cross-validation details (10-fold Crossvalidation)
0.9675 ± 0.0934
Cross-validation details (10-fold Crossvalidation)
0.1276 ± 0.0031
Cross-validation details (10-fold Crossvalidation)
0.134 ± 0.0083
Cross-validation details (10-fold Crossvalidation)
1.05 ± 0.061
Cross-validation details (10-fold Crossvalidation)