Run
8852581

Run 8852581

Task 125923 (Supervised Classification) Australian Uploaded 27-01-2018 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees528
mlr.classif.ranger(9)_mtry4
mlr.classif.ranger(9)_min.node.size112
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.309098498080857
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
0.92
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.861
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7189
Cross-validation details (10-fold Crossvalidation)
KB relative information score
271.8334
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3269
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
0.8612
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8609
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8609
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6618
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3609
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7263
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1867.0657
UserCPU time millis
0.521
UserCPU time millis testing
0.085
UserCPU time millis training
0.436