OpenML
1868913

Run 1868913

Task 9983 (Supervised Classification) eeg-eye-state Uploaded 28-03-2017 by Philipp Probst
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.svm(7)Learner mlr.classif.svm from package(s) e1071.
mlr.classif.svm(7)_cost25.6324980816701
mlr.classif.svm(7)_gamma4.06972821774961
mlr.classif.svm(7)_openml.seed1
mlr.classif.svm(7)_openml.kindMersenne-Twister
mlr.classif.svm(7)_openml.normal.kindInversion

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
0.9505
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8862
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7698
Cross-validation details (10-fold Crossvalidation)
KB relative information score
9961.4388
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1779
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
0.8862
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8863
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.8863
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3597
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2909
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5848
Cross-validation details (10-fold Crossvalidation)