Run
8607855

Run 8607855

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 02-12-2017 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.trees1732
mlr.classif.ranger(15)_mtry8
mlr.classif.ranger(15)_min.node.size1
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.453885494591668
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
0.9804
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9285
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8552
Cross-validation details (10-fold Crossvalidation)
KB relative information score
9661.1586
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1971
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
0.929
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9286
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.9286
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3983
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2623
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5273
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1348.5948
UserCPU time millis
408.67
UserCPU time millis testing
18.26
UserCPU time millis training
390.41