OpenML
8361046

Run 8361046

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.trees35
mlr.classif.ranger(13)_mtry6
mlr.classif.ranger(13)_min.node.size24
mlr.classif.ranger(13)_sample.fraction0.238543077534996
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
0.777
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7119
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2841
Cross-validation details (10-fold Crossvalidation)
KB relative information score
155.9861
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3541
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
0.7274
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.744
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.744
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8427
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4114
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8977
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1310.5386
UserCPU time millis
0.697
UserCPU time millis testing
0.089
UserCPU time millis training
0.608