Run
596779

Run 596779

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 28-06-2016 by Rafael Gomes Mantovani
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Flow

mlr.classif.cforest.preproc.preproc(1)Learner mlr.classif.cforest.preproc.preproc from package(s) party.
mlr.classif.cforest.preproc.preproc(1)_openml.seed1
mlr.classif.cforest.preproc.preproc(1)_openml.kindMersenne-Twister
mlr.classif.cforest.preproc.preproc(1)_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
0.8837
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8885
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7741
Cross-validation details (10-fold Crossvalidation)
KB relative information score
11609.1943
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1108
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
0.891
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8892
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.8892
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.224
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3329
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6693
Cross-validation details (10-fold Crossvalidation)
Total cost