Run
7971955

Run 7971955

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 17-10-2017 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.trees1924
mlr.classif.ranger(9)_mtry13
mlr.classif.ranger(9)_min.node.size359
mlr.classif.ranger(9)_sample.fraction0.1111023288453
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
0.793
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7194
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4313
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2866.2529
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4157
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
0.7209
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7216
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.7216
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8402
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4394
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8835
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1771.7892
UserCPU time millis
41.85
UserCPU time millis testing
4.761
UserCPU time millis training
37.089