OpenML
8257373

Run 8257373

Task 9983 (Supervised Classification) eeg-eye-state Uploaded 26-10-2017 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.trees1315
mlr.classif.ranger(9)_mtry1
mlr.classif.ranger(9)_min.node.size8564
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.735278083337471
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
0.6812
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5297
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1308
Cross-validation details (10-fold Crossvalidation)
KB relative information score
443.684
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.484
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
0.6361
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5991
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.5991
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9782
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4878
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9807
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1725.3999
UserCPU time millis
17.043
UserCPU time millis testing
2.687
UserCPU time millis training
14.356