Run
8789336

Run 8789336

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 13-01-2018 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees527
mlr.classif.ranger(16)_mtry3
mlr.classif.ranger(16)_min.node.size2192
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.46076160017401
mlr.classif.ranger(16)_num.threads1
mlr.classif.ranger(16)_verboseFALSE
mlr.classif.ranger(16)_openml.seed1
mlr.classif.ranger(16)_openml.kindMersenne-Twister
mlr.classif.ranger(16)_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
0.7571
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6922
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3765
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1708.396
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4499
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
0.696
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6963
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.6963
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9093
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4618
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9284
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1210.4738
UserCPU time millis
19.306
UserCPU time millis testing
1.708
UserCPU time millis training
17.598