Run
8783317

Run 8783317

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 09-01-2018 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(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees641
mlr.classif.ranger(16)_mtry5
mlr.classif.ranger(16)_min.node.size1634
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.738533891970292
mlr.classif.ranger(16)_respect.unordered.factorsTRUE
mlr.classif.ranger(16)_num.threads1
mlr.classif.ranger(16)_verboseFALSE
mlr.classif.ranger(16)_openml.seed1
mlr.classif.ranger(16)_openml.kindMersenne-Twister
mlr.classif.ranger(16)_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
0.8046
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7309
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4548
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2966.0067
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4131
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
0.7338
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7336
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.7336
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.835
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.436
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8765
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1375.2724
UserCPU time millis
21.661
UserCPU time millis testing
1.484
UserCPU time millis training
20.177