OpenML
7977357

Run 7977357

Task 9983 (Supervised Classification) eeg-eye-state Uploaded 17-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees1291
mlr.classif.ranger(9)_mtry12
mlr.classif.ranger(9)_min.node.size48
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.144435809110291
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_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
0.9176
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8386
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6729
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6191.266
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3123
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
0.8411
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8397
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.8397
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6311
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3602
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7243
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1728.4686
UserCPU time millis
83.816
UserCPU time millis testing
5.924
UserCPU time millis training
77.892