Run
8173794

Run 8173794

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 19-10-2017 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.trees1735
mlr.classif.ranger(9)_mtry12
mlr.classif.ranger(9)_min.node.size1529
mlr.classif.ranger(9)_sample.fraction0.585985393729061
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
0.7862
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.713
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4187
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2960.0243
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4121
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
0.7171
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7167
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.7167
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.833
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4393
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8833
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1853.454
UserCPU time millis
56.14
UserCPU time millis testing
4.01
UserCPU time millis training
52.13