Run
8644065

Run 8644065

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 11-12-2017 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.trees766
mlr.classif.ranger(16)_mtry6
mlr.classif.ranger(16)_min.node.size149
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.234000663110055
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
0.8868
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8002
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5952
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5017.7303
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.35
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
0.805
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8024
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.8024
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7073
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.388
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7802
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1171.9821
UserCPU time millis
45.156
UserCPU time millis testing
3.559
UserCPU time millis training
41.597