OpenML
8239831

Run 8239831

Task 9983 (Supervised Classification) eeg-eye-state Uploaded 25-10-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV10
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees108
mlr.classif.ranger(9)_mtry8
mlr.classif.ranger(9)_min.node.size9992
mlr.classif.ranger(9)_sample.fraction0.790889207972214
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
0.663
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5558
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1534
Cross-validation details (10-fold Crossvalidation)
KB relative information score
577.0343
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4804
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
0.6243
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6055
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.6055
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9709
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.486
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9771
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1832.762
UserCPU time millis
2.043
UserCPU time millis testing
0.181
UserCPU time millis training
1.862