OpenML
8350442

Run 8350442

Task 31 (Supervised Classification) credit-g Uploaded 31-10-2017 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.trees1282
mlr.classif.ranger(13)_mtry5
mlr.classif.ranger(13)_min.node.size17
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.51679293140769
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
0.7974
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.742
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3608
Cross-validation details (10-fold Crossvalidation)
KB relative information score
191.2676
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.34
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
0.7503
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.763
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.763
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8091
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4023
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8778
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1268.6749
UserCPU time millis
30.94
UserCPU time millis testing
2.584
UserCPU time millis training
28.356