Run
8750015

Run 8750015

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.trees266
mlr.classif.ranger(9)_mtry1
mlr.classif.ranger(9)_min.node.size5554
mlr.classif.ranger(9)_sample.fraction0.608844871469773
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
0.7096
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5691
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1776
Cross-validation details (10-fold Crossvalidation)
KB relative information score
700.3236
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4774
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
0.6417
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6166
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.6166
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9648
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4822
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9694
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1715.5791
UserCPU time millis
4.161
UserCPU time millis testing
0.442
UserCPU time millis training
3.719