Run
8885761

Run 8885761

Task 167132 (Supervised Classification) Speech Uploaded 15-03-2018 by Maarten van Asseldonk
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Flow

sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.Normalizer,Clas sifier=sklearn.ensemble.voting_classifier.VotingClassifier(svc=sklearn.svm. classes.SVC,kn=sklearn.neighbors.classification.KNeighborsClassifier,gnb=sk learn.naive_bayes.GaussianNB,logreg=sklearn.linear_model.logistic.LogisticR egression))(1)Automatically created scikit-learn flow.
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)_gamma"auto"
sklearn.svm.classes.SVC(16)_kernel"rbf"
sklearn.svm.classes.SVC(16)_max_iter-1
sklearn.svm.classes.SVC(16)_probabilitytrue
sklearn.svm.classes.SVC(16)_random_state25857
sklearn.svm.classes.SVC(16)_shrinkingtrue
sklearn.svm.classes.SVC(16)_tol0.001
sklearn.svm.classes.SVC(16)_verbosefalse
sklearn.neighbors.classification.KNeighborsClassifier(20)_algorithm"auto"
sklearn.neighbors.classification.KNeighborsClassifier(20)_leaf_size30
sklearn.neighbors.classification.KNeighborsClassifier(20)_metric"minkowski"
sklearn.neighbors.classification.KNeighborsClassifier(20)_metric_paramsnull
sklearn.neighbors.classification.KNeighborsClassifier(20)_n_jobs1
sklearn.neighbors.classification.KNeighborsClassifier(20)_n_neighbors10
sklearn.neighbors.classification.KNeighborsClassifier(20)_p2
sklearn.neighbors.classification.KNeighborsClassifier(20)_weights"uniform"
sklearn.linear_model.logistic.LogisticRegression(10)_C1
sklearn.linear_model.logistic.LogisticRegression(10)_class_weightnull
sklearn.linear_model.logistic.LogisticRegression(10)_dualfalse
sklearn.linear_model.logistic.LogisticRegression(10)_fit_intercepttrue
sklearn.linear_model.logistic.LogisticRegression(10)_intercept_scaling1
sklearn.linear_model.logistic.LogisticRegression(10)_max_iter100
sklearn.linear_model.logistic.LogisticRegression(10)_multi_class"ovr"
sklearn.linear_model.logistic.LogisticRegression(10)_n_jobs1
sklearn.linear_model.logistic.LogisticRegression(10)_penalty"l1"
sklearn.linear_model.logistic.LogisticRegression(10)_random_state22313
sklearn.linear_model.logistic.LogisticRegression(10)_solver"liblinear"
sklearn.linear_model.logistic.LogisticRegression(10)_tol0.0001
sklearn.linear_model.logistic.LogisticRegression(10)_verbose0
sklearn.linear_model.logistic.LogisticRegression(10)_warm_startfalse
sklearn.naive_bayes.GaussianNB(7)_priorsnull
sklearn.preprocessing.data.Normalizer(1)_copytrue
sklearn.preprocessing.data.Normalizer(1)_norm"l2"
sklearn.ensemble.voting_classifier.VotingClassifier(svc=sklearn.svm.classes.SVC,kn=sklearn.neighbors.classification.KNeighborsClassifier,gnb=sklearn.naive_bayes.GaussianNB,logreg=sklearn.linear_model.logistic.LogisticRegression)(1)_flatten_transformnull
sklearn.ensemble.voting_classifier.VotingClassifier(svc=sklearn.svm.classes.SVC,kn=sklearn.neighbors.classification.KNeighborsClassifier,gnb=sklearn.naive_bayes.GaussianNB,logreg=sklearn.linear_model.logistic.LogisticRegression)(1)_n_jobs-1
sklearn.ensemble.voting_classifier.VotingClassifier(svc=sklearn.svm.classes.SVC,kn=sklearn.neighbors.classification.KNeighborsClassifier,gnb=sklearn.naive_bayes.GaussianNB,logreg=sklearn.linear_model.logistic.LogisticRegression)(1)_voting"soft"
sklearn.ensemble.voting_classifier.VotingClassifier(svc=sklearn.svm.classes.SVC,kn=sklearn.neighbors.classification.KNeighborsClassifier,gnb=sklearn.naive_bayes.GaussianNB,logreg=sklearn.linear_model.logistic.LogisticRegression)(1)_weights[2, 1, 1, 1]
sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.Normalizer,Classifier=sklearn.ensemble.voting_classifier.VotingClassifier(svc=sklearn.svm.classes.SVC,kn=sklearn.neighbors.classification.KNeighborsClassifier,gnb=sklearn.naive_bayes.GaussianNB,logreg=sklearn.linear_model.logistic.LogisticRegression))(1)_memorynull

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

0.8507 ± 0.0905
Per class
Cross-validation details (10-fold Crossvalidation)
0.9766 ± 0
Per class
Cross-validation details (10-fold Crossvalidation)
0.0625 ± 0.1191
Cross-validation details (10-fold Crossvalidation)
-4668.3621 ± 103.3922
Cross-validation details (10-fold Crossvalidation)
0.0279 ± 0.0012
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)
0.9842 ± 0
Per class
Cross-validation details (10-fold Crossvalidation)
0.984 ± 0.0015
Cross-validation details (10-fold Crossvalidation)
0.1231
Cross-validation details (10-fold Crossvalidation)
0.984 ± 0.0015
Per class
Cross-validation details (10-fold Crossvalidation)
0.8496 ± 0.0429
Cross-validation details (10-fold Crossvalidation)
0.1276 ± 0.0031
Cross-validation details (10-fold Crossvalidation)
0.1177 ± 0.0047
Cross-validation details (10-fold Crossvalidation)
0.9226 ± 0.0372
Cross-validation details (10-fold Crossvalidation)