Run
8886052

Run 8886052

Task 167132 (Supervised Classification) Speech Uploaded 16-03-2018 by Jorge Gomez
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Flow

sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.Standar dScaler,gaussiannb=sklearn.naive_bayes.GaussianNB)(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.naive_bayes.GaussianNB(7)_priors[0.06, 0.94]
sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,gaussiannb=sklearn.naive_bayes.GaussianNB)(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

Area under ROC curve
0.7726 ± 0.0951
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9325 ± 0.0144
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1204 ± 0.0777
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-20418.2899 ± 420.2084
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1061 ± 0.0225
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0328 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Number of instances
3686
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9762 ± 0.0047
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.898 ± 0.0244
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.898 ± 0.0244
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
3.2329 ± 0.6634
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1276 ± 0.0031
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2974 ± 0.0354
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
2.3312 ± 0.2658
Cross-validation details (10-fold Crossvalidation)