OpenML
2395546

Run 2395546

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)_cost6.90063700791947
mlr.classif.svm(7)_gamma45.9239239517893
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
0.8906
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8128
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6209
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6547.2772
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2942
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
0.82
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8154
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.8154
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5945
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3757
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7554
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1761.7086
UserCPU time millis
2550.947
UserCPU time millis testing
7.056
UserCPU time millis training
2543.891