Run
8886553

Run 8886553

Task 167132 (Supervised Classification) Speech Uploaded 17-03-2018 by Bensu Ucar
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn. ensemble.voting_classifier.VotingClassifier(svm=sklearn.svm.classes.SVC,lr= sklearn.linear_model.logistic.LogisticRegression,rf=sklearn.ensemble.forest .RandomForestClassifier,gnb=sklearn.naive_bayes.GaussianNB))(1)Automatically created scikit-learn flow.
sklearn.svm.classes.SVC(16)_C1.0
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_state56401
sklearn.svm.classes.SVC(16)_shrinkingtrue
sklearn.svm.classes.SVC(16)_tol0.001
sklearn.svm.classes.SVC(16)_verbosefalse
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_state23557
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_state14110
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.ensemble.voting_classifier.VotingClassifier(svm=sklearn.svm.classes.SVC,lr=sklearn.linear_model.logistic.LogisticRegression,rf=sklearn.ensemble.forest.RandomForestClassifier,gnb=sklearn.naive_bayes.GaussianNB)(1)_flatten_transformnull
sklearn.ensemble.voting_classifier.VotingClassifier(svm=sklearn.svm.classes.SVC,lr=sklearn.linear_model.logistic.LogisticRegression,rf=sklearn.ensemble.forest.RandomForestClassifier,gnb=sklearn.naive_bayes.GaussianNB)(1)_n_jobs1
sklearn.ensemble.voting_classifier.VotingClassifier(svm=sklearn.svm.classes.SVC,lr=sklearn.linear_model.logistic.LogisticRegression,rf=sklearn.ensemble.forest.RandomForestClassifier,gnb=sklearn.naive_bayes.GaussianNB)(1)_voting"soft"
sklearn.ensemble.voting_classifier.VotingClassifier(svm=sklearn.svm.classes.SVC,lr=sklearn.linear_model.logistic.LogisticRegression,rf=sklearn.ensemble.forest.RandomForestClassifier,gnb=sklearn.naive_bayes.GaussianNB)(1)_weightsnull
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.ensemble.voting_classifier.VotingClassifier(svm=sklearn.svm.classes.SVC,lr=sklearn.linear_model.logistic.LogisticRegression,rf=sklearn.ensemble.forest.RandomForestClassifier,gnb=sklearn.naive_bayes.GaussianNB))(1)_algorithm"SAMME.R"
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.ensemble.voting_classifier.VotingClassifier(svm=sklearn.svm.classes.SVC,lr=sklearn.linear_model.logistic.LogisticRegression,rf=sklearn.ensemble.forest.RandomForestClassifier,gnb=sklearn.naive_bayes.GaussianNB))(1)_learning_rate1.0
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.ensemble.voting_classifier.VotingClassifier(svm=sklearn.svm.classes.SVC,lr=sklearn.linear_model.logistic.LogisticRegression,rf=sklearn.ensemble.forest.RandomForestClassifier,gnb=sklearn.naive_bayes.GaussianNB))(1)_n_estimators50
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.ensemble.voting_classifier.VotingClassifier(svm=sklearn.svm.classes.SVC,lr=sklearn.linear_model.logistic.LogisticRegression,rf=sklearn.ensemble.forest.RandomForestClassifier,gnb=sklearn.naive_bayes.GaussianNB))(1)_random_state39392

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.

15 Evaluation measures

0.813 ± 0.1412
Per class
Cross-validation details (10-fold Crossvalidation)
-49871.5884 ± 304.5075
Cross-validation details (10-fold Crossvalidation)
0.0767 ± 0.0033
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)
0.9835 ± 0.0009
Cross-validation details (10-fold Crossvalidation)
0.1231
Cross-validation details (10-fold Crossvalidation)
0.9835 ± 0.0009
Per class
Cross-validation details (10-fold Crossvalidation)
2.3378 ± 0.1149
Cross-validation details (10-fold Crossvalidation)
0.1276 ± 0.0031
Cross-validation details (10-fold Crossvalidation)
0.131 ± 0.0051
Cross-validation details (10-fold Crossvalidation)
1.0266 ± 0.0386
Cross-validation details (10-fold Crossvalidation)