OpenML
8301094

Run 8301094

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.trees694
mlr.classif.ranger(13)_mtry11
mlr.classif.ranger(13)_min.node.size28
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.517695439211093
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
0.9739
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9178
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8356
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1849.0332
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2608
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
0.9179
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9178
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9998
Cross-validation details (10-fold Crossvalidation)
Recall
0.9178
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5217
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4999
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3032
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6064
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1304.6725
UserCPU time millis
145.667
UserCPU time millis testing
5.996
UserCPU time millis training
139.671