Run
555427

Run 555427

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 14-04-2016 by Duy Pham
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  • NumPy_1.10.4. Python_2.7.11. run_task SciPy_0.17.0. sklearn.svm.classes.SVC Sklearn_0.17.1. Thu_Apr_14_23.32.53_2016
Issue #Downvotes for this reason By


Flow

sklearn.svm.classes.SVC(2)Flow generated by run_task
sklearn.svm.classes.SVC(2)_kernelrbf
sklearn.svm.classes.SVC(2)_C1.0
sklearn.svm.classes.SVC(2)_verboseFalse
sklearn.svm.classes.SVC(2)_probabilityTrue
sklearn.svm.classes.SVC(2)_degree3
sklearn.svm.classes.SVC(2)_shrinkingTrue
sklearn.svm.classes.SVC(2)_max_iter-1
sklearn.svm.classes.SVC(2)_decision_function_shapeNone
sklearn.svm.classes.SVC(2)_random_stateNone
sklearn.svm.classes.SVC(2)_tol0.001
sklearn.svm.classes.SVC(2)_cache_size200
sklearn.svm.classes.SVC(2)_coef00.0
sklearn.svm.classes.SVC(2)_gamma0.000345266983001
sklearn.svm.classes.SVC(2)_class_weightNone

Result files

Description

XML file describing the run, including user-defined evaluation measures.

Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.9849
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9436
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.886
Cross-validation details (10-fold Crossvalidation)
KB relative information score
12554.1659
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0861
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4948
Cross-validation details (10-fold Crossvalidation)
Number of instances
14980
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9436
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9437
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.9437
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1741
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2068
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4158
Cross-validation details (10-fold Crossvalidation)