OpenML
8506118

Run 8506118

Task 9983 (Supervised Classification) eeg-eye-state Uploaded 08-11-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees661
mlr.classif.ranger(15)_mtry3
mlr.classif.ranger(15)_min.node.size76
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.172554091643542
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
0.9019
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8151
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6253
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5055.4521
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3506
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
0.8195
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.817
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.817
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7086
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3835
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.771
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1340.974
UserCPU time millis
37.03
UserCPU time millis testing
3.29
UserCPU time millis training
33.74