Run
8461814

Run 8461814

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 03-11-2017 by OpenML_Bot R
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  • AzureBot1 botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees197
mlr.classif.ranger(13)_mtry14
mlr.classif.ranger(13)_min.node.size125
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.257042388571426
mlr.classif.ranger(13)_respect.unordered.factorsTRUE
mlr.classif.ranger(13)_num.threads1
mlr.classif.ranger(13)_verboseFALSE
mlr.classif.ranger(13)_openml.seed1
mlr.classif.ranger(13)_openml.kindMersenne-Twister
mlr.classif.ranger(13)_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
0.8977
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8131
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6213
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5700.8344
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3267
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
0.8172
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.815
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.815
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6603
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3753
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7546
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1227.1383
UserCPU time millis
89.88
UserCPU time millis testing
4.68
UserCPU time millis training
85.2