OpenML
2395590

Run 2395590

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)_cost0.00818953017783682
mlr.classif.svm(7)_gamma577.242128905249
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
0.5219
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3924
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0003
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3.1284
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4947
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
0.5532
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5513
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.5513
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9998
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4973
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9999
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1749.2433
UserCPU time millis
1523.014
UserCPU time millis testing
10.481
UserCPU time millis training
1512.533