Run
1860439

Run 1860439

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)_cost0.00133538766891268
mlr.classif.svm(7)_gamma16.6732113631802
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
0.887
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8341
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6652
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6588.4213
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2948
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
0.8346
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8339
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.8339
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5958
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.376
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7559
Cross-validation details (10-fold Crossvalidation)