Run
8756582

Run 8756582

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 30-12-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees2
mlr.classif.ranger(9)_mtry2
mlr.classif.ranger(9)_min.node.size3034
mlr.classif.ranger(9)_sample.fraction0.270672271307558
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
0.613
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5628
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1432
Cross-validation details (10-fold Crossvalidation)
KB relative information score
608.1956
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4793
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
0.5965
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5957
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.5957
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9688
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4876
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9803
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1740.8509
UserCPU time millis
0.491
UserCPU time millis testing
0.07
UserCPU time millis training
0.421