Run
8884511

Run 8884511

Task 167132 (Supervised Classification) Speech Uploaded 12-03-2018 by T van Diessen
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Flow

sklearn.pipeline.Pipeline(StandardScaler=sklearn.preprocessing.data.Standar dScaler,Classifier=sklearn.svm.classes.SVC)(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.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"linear"
sklearn.svm.classes.SVC(16)_max_iter-1
sklearn.svm.classes.SVC(16)_probabilityfalse
sklearn.svm.classes.SVC(16)_random_state51260
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,Classifier=sklearn.svm.classes.SVC)(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
0.6294 ± 0.0963
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9714 ± 0.0048
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2112 ± 0.1399
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-1935.6958 ± 122.5096
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0315 ± 0.0063
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
0.9746 ± 0.0047
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9685 ± 0.0063
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9685 ± 0.0063
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9593 ± 0.2036
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
0.1774 ± 0.0187
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3906 ± 0.1662
Cross-validation details (10-fold Crossvalidation)