Run
8885432

Run 8885432

Task 167132 (Supervised Classification) Speech Uploaded 14-03-2018 by Emma van Zoelen
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Flow

sklearn.ensemble.voting_classifier.VotingClassifier(lr=sklearn.linear_model .logistic.LogisticRegression,rf=sklearn.ensemble.forest.RandomForestClassif ier,bnb=sklearn.naive_bayes.BernoulliNB)(1)Automatically created scikit-learn flow.
sklearn.ensemble.forest.RandomForestClassifier(32)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(32)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(32)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(32)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(32)_max_features"auto"
sklearn.ensemble.forest.RandomForestClassifier(32)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(32)_min_impurity_decrease0.0
sklearn.ensemble.forest.RandomForestClassifier(32)_min_impurity_splitnull
sklearn.ensemble.forest.RandomForestClassifier(32)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(32)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(32)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(32)_n_estimators10
sklearn.ensemble.forest.RandomForestClassifier(32)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(32)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(32)_random_state1
sklearn.ensemble.forest.RandomForestClassifier(32)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(32)_warm_startfalse
sklearn.linear_model.logistic.LogisticRegression(10)_C1.0
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"l2"
sklearn.linear_model.logistic.LogisticRegression(10)_random_state1
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.BernoulliNB(4)_alpha1.0
sklearn.naive_bayes.BernoulliNB(4)_binarize0.0
sklearn.naive_bayes.BernoulliNB(4)_class_priornull
sklearn.naive_bayes.BernoulliNB(4)_fit_priortrue
sklearn.ensemble.voting_classifier.VotingClassifier(lr=sklearn.linear_model.logistic.LogisticRegression,rf=sklearn.ensemble.forest.RandomForestClassifier,bnb=sklearn.naive_bayes.BernoulliNB)(1)_flatten_transformnull
sklearn.ensemble.voting_classifier.VotingClassifier(lr=sklearn.linear_model.logistic.LogisticRegression,rf=sklearn.ensemble.forest.RandomForestClassifier,bnb=sklearn.naive_bayes.BernoulliNB)(1)_n_jobs1
sklearn.ensemble.voting_classifier.VotingClassifier(lr=sklearn.linear_model.logistic.LogisticRegression,rf=sklearn.ensemble.forest.RandomForestClassifier,bnb=sklearn.naive_bayes.BernoulliNB)(1)_voting"soft"
sklearn.ensemble.voting_classifier.VotingClassifier(lr=sklearn.linear_model.logistic.LogisticRegression,rf=sklearn.ensemble.forest.RandomForestClassifier,bnb=sklearn.naive_bayes.BernoulliNB)(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

0.8133 ± 0.0884
Per class
Cross-validation details (10-fold Crossvalidation)
0.9774 ± 0.0056
Per class
Cross-validation details (10-fold Crossvalidation)
0.1345 ± 0.1792
Cross-validation details (10-fold Crossvalidation)
-11810.7469 ± 140.3222
Cross-validation details (10-fold Crossvalidation)
0.036 ± 0.003
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)
0.976 ± 0.0102
Per class
Cross-validation details (10-fold Crossvalidation)
0.9832 ± 0.0033
Cross-validation details (10-fold Crossvalidation)
0.1231
Cross-validation details (10-fold Crossvalidation)
0.9832 ± 0.0033
Per class
Cross-validation details (10-fold Crossvalidation)
1.0963 ± 0.0962
Cross-validation details (10-fold Crossvalidation)
0.1276 ± 0.0031
Cross-validation details (10-fold Crossvalidation)
0.1291 ± 0.0111
Cross-validation details (10-fold Crossvalidation)
1.0116 ± 0.0857
Cross-validation details (10-fold Crossvalidation)