Run
8585779

Run 8585779

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 28-11-2017 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.trees173
mlr.classif.ranger(16)_mtry8
mlr.classif.ranger(16)_min.node.size92
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.666618927987292
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
0.947
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8692
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7351
Cross-validation details (10-fold Crossvalidation)
KB relative information score
7530.6024
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2679
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
0.8703
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8698
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.8698
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5415
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3257
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6549
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1357.73
UserCPU time millis
25.8
UserCPU time millis testing
1.32
UserCPU time millis training
24.48