OpenML
2395424

Run 2395424

Task 9983 (Supervised Classification) eeg-eye-state Uploaded 10-06-2017 by OpenML_Bot R
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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)_cost0.00126110098439453
mlr.classif.svm(7)_gamma0.733089769044392
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.

21 Evaluation measures

Area under ROC curve
0.7238
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6599
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3108
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2667.3404
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4168
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
0.6608
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6628
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.6628
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8424
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4614
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9277
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1722.7088
UserCPU time millis
650.134
UserCPU time millis testing
5.609
UserCPU time millis training
644.525