OpenML
8361187

Run 8361187

Task 31 (Supervised Classification) credit-g Uploaded 31-10-2017 by OpenML_Bot R
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Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees173
mlr.classif.ranger(13)_mtry3
mlr.classif.ranger(13)_min.node.size28
mlr.classif.ranger(13)_sample.fraction0.23512499735225
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
0.7912
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6711
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.191
Cross-validation details (10-fold Crossvalidation)
KB relative information score
133.7729
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3658
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7345
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.734
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.734
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8706
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4136
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9025
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1294.9276
UserCPU time millis
2.018
UserCPU time millis testing
0.242
UserCPU time millis training
1.776