OpenML
8316309

Run 8316309

Task 3891 (Supervised Classification) gina_agnostic Uploaded 29-10-2017 by OpenML_Bot R
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  • AzureBot1 botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees1568
mlr.classif.ranger(13)_mtry26
mlr.classif.ranger(13)_min.node.size21
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.173008945258334
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
0.963
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8976
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7953
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1781.3815
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2695
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
0.8978
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8976
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9998
Cross-validation details (10-fold Crossvalidation)
Recall
0.8976
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5392
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4999
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3144
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6288
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1292.5408
UserCPU time millis
234.841
UserCPU time millis testing
9.186
UserCPU time millis training
225.655