Run
8886568

Run 8886568

Task 167132 (Supervised Classification) Speech Uploaded 17-03-2018 by Mark Frenken
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Flow

sklearn.pipeline.Pipeline(Decomposition=sklearn.decomposition.pca.PCA,Class ifier=sklearn.svm.classes.SVC)(1)Automatically created scikit-learn flow.
sklearn.svm.classes.SVC(15)_C1000
sklearn.svm.classes.SVC(15)_cache_size200
sklearn.svm.classes.SVC(15)_class_weightnull
sklearn.svm.classes.SVC(15)_coef00.0
sklearn.svm.classes.SVC(15)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(15)_degree3
sklearn.svm.classes.SVC(15)_gamma0.001
sklearn.svm.classes.SVC(15)_kernel"rbf"
sklearn.svm.classes.SVC(15)_max_iter-1
sklearn.svm.classes.SVC(15)_probabilityfalse
sklearn.svm.classes.SVC(15)_random_state7009
sklearn.svm.classes.SVC(15)_shrinkingtrue
sklearn.svm.classes.SVC(15)_tol0.001
sklearn.svm.classes.SVC(15)_verbosefalse
sklearn.decomposition.pca.PCA(3)_copytrue
sklearn.decomposition.pca.PCA(3)_iterated_power"auto"
sklearn.decomposition.pca.PCA(3)_n_components100
sklearn.decomposition.pca.PCA(3)_random_state42581
sklearn.decomposition.pca.PCA(3)_svd_solver"auto"
sklearn.decomposition.pca.PCA(3)_tol0.0
sklearn.decomposition.pca.PCA(3)_whitenfalse
sklearn.pipeline.Pipeline(Decomposition=sklearn.decomposition.pca.PCA,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
0.6549 ± 0.0789
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9843 ± 0.0037
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4364 ± 0.1678
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1332.777 ± 50.8728
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.013 ± 0.0025
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
0.9847 ± 0.0043
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.987 ± 0.0025
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.987 ± 0.0025
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.397 ± 0.0794
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
0.1141 ± 0.0114
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8945 ± 0.0969
Cross-validation details (10-fold Crossvalidation)