OpenML
4370971

Run 4370971

Task 9983 (Supervised Classification) eeg-eye-state Uploaded 05-07-2017 by OpenML_Bot R
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  • AzureBot13 botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees68
mlr.classif.ranger(13)_mtry6
mlr.classif.ranger(13)_sample.fraction0.291452666791156
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
0.9652
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8994
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7962
Cross-validation details (10-fold Crossvalidation)
KB relative information score
8347.6126
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2421
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
0.9003
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8997
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.8997
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4894
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3001
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6034
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1237.7166
UserCPU time millis
45.659
UserCPU time millis testing
2.901
UserCPU time millis training
42.758