Run
8686830

Run 8686830

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 25-12-2017 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.trees594
mlr.classif.ranger(9)_mtry7
mlr.classif.ranger(9)_min.node.size676
mlr.classif.ranger(9)_sample.fraction0.912254875199869
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
0.8729
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7869
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5683
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4812.6516
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3556
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
0.7929
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7897
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.7897
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7188
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.395
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7942
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1853.454
UserCPU time millis
32.162
UserCPU time millis testing
1.536
UserCPU time millis training
30.626