Run
7971504

Run 7971504

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.trees819
mlr.classif.ranger(9)_mtry2
mlr.classif.ranger(9)_min.node.size1665
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.847350292163901
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
0.8113
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.74
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4734
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2594.9443
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4254
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
0.745
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7435
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.7435
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8598
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4414
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8874
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1845.7222
UserCPU time millis
20.119
UserCPU time millis testing
2.176
UserCPU time millis training
17.943