Run
8602505

Run 8602505

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 01-12-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees868
mlr.classif.ranger(15)_mtry3
mlr.classif.ranger(15)_min.node.size1
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.855567298782989
mlr.classif.ranger(15)_num.threads1
mlr.classif.ranger(15)_verboseFALSE
mlr.classif.ranger(15)_openml.seed1
mlr.classif.ranger(15)_openml.kindMersenne-Twister
mlr.classif.ranger(15)_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
0.9879
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9441
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8869
Cross-validation details (10-fold Crossvalidation)
KB relative information score
10029.6899
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1861
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
0.9444
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9442
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.9442
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.376
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2459
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1258.4107
UserCPU time millis
213.03
UserCPU time millis testing
11.53
UserCPU time millis training
201.5