OpenML
8553233

Run 8553233

Task 3891 (Supervised Classification) gina_agnostic Uploaded 23-11-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees1229
mlr.classif.ranger(16)_mtry71
mlr.classif.ranger(16)_min.node.size48
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.405777215166017
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
0.9726
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9126
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8253
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2093.1715
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2218
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
0.9129
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9126
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9998
Cross-validation details (10-fold Crossvalidation)
Recall
0.9126
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4436
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4999
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.281
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5621
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
888.8924
UserCPU time millis
352.961
UserCPU time millis testing
3.537
UserCPU time millis training
349.424