Run
8203696

Run 8203696

Task 145972 (Supervised Classification) credit-g Uploaded 19-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees107
mlr.classif.ranger(9)_mtry16
mlr.classif.ranger(9)_min.node.size275
mlr.classif.ranger(9)_sample.fraction0.686669506761245
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_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
0.7612
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6883
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2265
Cross-validation details (10-fold Crossvalidation)
KB relative information score
123.9945
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3619
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
0.7147
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.733
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.733
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8612
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4198
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.916
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1869.8223
UserCPU time millis
0.399
UserCPU time millis testing
0.164
UserCPU time millis training
0.235