OpenML
8237756

Run 8237756

Task 9983 (Supervised Classification) eeg-eye-state Uploaded 25-10-2017 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.trees1319
mlr.classif.ranger(9)_mtry4
mlr.classif.ranger(9)_min.node.size3276
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.792493241885677
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
0.7702
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7136
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4196
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2012.264
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4412
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
0.7155
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7161
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.7161
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8917
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4558
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9165
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1848.3851
UserCPU time millis
27.309
UserCPU time millis testing
3.045
UserCPU time millis training
24.264