Run
8144473

Run 8144473

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 18-10-2017 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.trees714
mlr.classif.ranger(9)_mtry11
mlr.classif.ranger(9)_min.node.size2843
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.432652081968263
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
0.718
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6642
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3196
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1509.2998
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4545
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
0.6642
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6659
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.6659
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9186
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4684
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9418
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1796.5053
UserCPU time millis
16.842
UserCPU time millis testing
1.413
UserCPU time millis training
15.429