Run
6341664

Run 6341664

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 28-08-2017 by OpenML_Bot R
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Flow

mlr.classif.svm(6)Learner mlr.classif.svm from package(s) e1071.
mlr.classif.svm(6)_cost40.3034504794928
mlr.classif.svm(6)_kernellinear
mlr.classif.svm(6)_openml.seed1
mlr.classif.svm(6)_openml.kindMersenne-Twister
mlr.classif.svm(6)_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
0.6495
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6024
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2064
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1344.6865
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4571
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
0.6218
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.621
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.621
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9239
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4778
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9607
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1293.2322
UserCPU time millis
2116.788
UserCPU time millis testing
4.932
UserCPU time millis training
2111.856