Run
8210939

Run 8210939

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 23-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees179
mlr.classif.ranger(9)_mtry1
mlr.classif.ranger(9)_min.node.size5332
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.841951806517318
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
0.7274
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6231
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2578
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1008.6981
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4693
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
0.6644
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6488
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.6488
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9486
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4756
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9563
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1854.4431
UserCPU time millis
2.88
UserCPU time millis testing
0.306
UserCPU time millis training
2.574