Run
1860452

Run 1860452

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 27-03-2017 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)_cost0.0863053792908065
mlr.classif.svm(7)_gamma13.6010888911908
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
0.8894
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8366
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6703
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6894.5198
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2842
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
0.8371
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8364
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.8364
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5744
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.37
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7438
Cross-validation details (10-fold Crossvalidation)