Run
8635889

Run 8635889

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 10-12-2017 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.trees818
mlr.classif.ranger(15)_mtry1
mlr.classif.ranger(15)_min.node.size7
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.135876940493472
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
0.9441
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8621
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7205
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5803.7574
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3294
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
0.8666
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8634
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.8634
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6657
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3598
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7234
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1620.9293
UserCPU time millis
53.68
UserCPU time millis testing
5.29
UserCPU time millis training
48.39