Run
8886932

Run 8886932

Task 167132 (Supervised Classification) Speech Uploaded 17-03-2018 by Jorge Gomez
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Flow

sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.Standar dScaler,svc=sklearn.svm.classes.SVC)(2)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.svm.classes.SVC(16)_C0.04
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)_gamma0.001
sklearn.svm.classes.SVC(16)_kernel"linear"
sklearn.svm.classes.SVC(16)_max_iter-1
sklearn.svm.classes.SVC(16)_probabilityfalse
sklearn.svm.classes.SVC(16)_random_state12756
sklearn.svm.classes.SVC(16)_shrinkingtrue
sklearn.svm.classes.SVC(16)_tol0.001
sklearn.svm.classes.SVC(16)_verbosefalse
sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(2)_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
0.6316 ± 0.0884
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9741 ± 0.0049
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.24 ± 0.1453
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-1166.6434 ± 102.5026
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0271 ± 0.0056
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
0.9753 ± 0.0049
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9729 ± 0.0056
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9729 ± 0.0056
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.827 ± 0.1756
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
0.1647 ± 0.0177
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2911 ± 0.1462
Cross-validation details (10-fold Crossvalidation)