Run
8789307

Run 8789307

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 13-01-2018 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.trees1508
mlr.classif.ranger(16)_mtry6
mlr.classif.ranger(16)_min.node.size1
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.762888477020897
mlr.classif.ranger(16)_respect.unordered.factorsTRUE
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
0.9858
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9397
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.878
Cross-validation details (10-fold Crossvalidation)
KB relative information score
10256.2817
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1765
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
0.9401
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9399
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.9399
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3567
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2435
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4896
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1273.9462
UserCPU time millis
426.228
UserCPU time millis testing
17.044
UserCPU time millis training
409.184