Run
8607912

Run 8607912

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 02-12-2017 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.trees959
mlr.classif.ranger(15)_mtry10
mlr.classif.ranger(15)_min.node.size627
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.640276694041677
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
0.8496
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.764
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5224
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4484.012
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3648
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
0.7726
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.768
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.768
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7373
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.406
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8162
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1459.3558
UserCPU time millis
71.89
UserCPU time millis testing
3.97
UserCPU time millis training
67.92