Run
8015062

Run 8015062

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 17-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees26
mlr.classif.ranger(9)_mtry13
mlr.classif.ranger(9)_min.node.size234
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.115544198150747
mlr.classif.ranger(9)_respect.unordered.factorsTRUE
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
0.8094
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.731
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.455
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3474.8561
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3965
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
0.7333
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7334
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.7334
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8015
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4281
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8608
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1850.8706
UserCPU time millis
1.287
UserCPU time millis testing
0.083
UserCPU time millis training
1.204