Run
8259908

Run 8259908

Task 125923 (Supervised Classification) Australian Uploaded 26-10-2017 by OpenML_Bot R
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees1701
mlr.classif.ranger(9)_mtry11
mlr.classif.ranger(9)_min.node.size1
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.244671905436553
mlr.classif.ranger(9)_respect.unordered.factorsTRUE
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
0.9375
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.867
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7316
Cross-validation details (10-fold Crossvalidation)
KB relative information score
435.492
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1952
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8684
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8667
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8667
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3951
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3035
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6108
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1841.2703
UserCPU time millis
5.688
UserCPU time millis testing
0.776
UserCPU time millis training
4.912