Run
8885633

Run 8885633

Task 167132 (Supervised Classification) Speech Uploaded 15-03-2018 by Jorge Gomez
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Flow

sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.Standar dScaler,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.Gradi entBoostingClassifier)(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.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_depth16
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_estimators100
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_presort"auto"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_random_state6991
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_subsample1.0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_verbose0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_warm_startfalse
sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(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

0.6307 ± 0.1383
Per class
Cross-validation details (10-fold Crossvalidation)
0.9741 ± 0.0032
Per class
Cross-validation details (10-fold Crossvalidation)
0.0206 ± 0.0789
Cross-validation details (10-fold Crossvalidation)
-1108.3201 ± 93.9856
Cross-validation details (10-fold Crossvalidation)
0.0212 ± 0.0035
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)
0.9686 ± 0.0045
Per class
Cross-validation details (10-fold Crossvalidation)
0.9802 ± 0.0036
Cross-validation details (10-fold Crossvalidation)
0.1231
Cross-validation details (10-fold Crossvalidation)
0.9802 ± 0.0036
Per class
Cross-validation details (10-fold Crossvalidation)
0.6467 ± 0.1019
Cross-validation details (10-fold Crossvalidation)
0.1276 ± 0.0031
Cross-validation details (10-fold Crossvalidation)
0.1369 ± 0.0112
Cross-validation details (10-fold Crossvalidation)
1.0734 ± 0.0774
Cross-validation details (10-fold Crossvalidation)