Run
7971596

Run 7971596

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.trees1150
mlr.classif.ranger(9)_mtry1
mlr.classif.ranger(9)_min.node.size96
mlr.classif.ranger(9)_sample.fraction0.361975539987907
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
0.9058
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8187
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6327
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4429.7222
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3719
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
0.8247
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8209
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.8209
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7516
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3951
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7944
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1844.7681
UserCPU time millis
43.929
UserCPU time millis testing
5.59
UserCPU time millis training
38.339