OpenML
8313808

Run 8313808

Task 3891 (Supervised Classification) gina_agnostic Uploaded 29-10-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • AzureBot1 botV1 mlrRandomBot sciBenchV10
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees1419
mlr.classif.ranger(13)_mtry15
mlr.classif.ranger(13)_min.node.size3
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.470352734951302
mlr.classif.ranger(13)_respect.unordered.factorsTRUE
mlr.classif.ranger(13)_num.threads1
mlr.classif.ranger(13)_verboseFALSE
mlr.classif.ranger(13)_openml.seed1
mlr.classif.ranger(13)_openml.kindMersenne-Twister
mlr.classif.ranger(13)_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
0.981
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9302
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8604
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2054.3128
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2302
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4999
Cross-validation details (10-fold Crossvalidation)
Number of instances
3468
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9303
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9302
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9998
Cross-validation details (10-fold Crossvalidation)
Recall
0.9302
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4605
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4999
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2783
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5568
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1274.0572
UserCPU time millis
422.487
UserCPU time millis testing
14.215
UserCPU time millis training
408.272