Run
8602358

Run 8602358

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 01-12-2017 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.trees1244
mlr.classif.ranger(15)_mtry11
mlr.classif.ranger(15)_min.node.size2
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.561563337710686
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
0.9805
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9288
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8559
Cross-validation details (10-fold Crossvalidation)
KB relative information score
9947.5054
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1862
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
0.9292
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.929
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.929
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3764
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2564
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5156
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1396.9489
UserCPU time millis
357.08
UserCPU time millis testing
11.18
UserCPU time millis training
345.9