Run
8289151

Run 8289151

Task 3494 (Supervised Classification) monks-problems-3 Uploaded 28-10-2017 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.trees1054
mlr.classif.ranger(13)_mtry1
mlr.classif.ranger(13)_min.node.size219
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.634441971615888
mlr.classif.ranger(13)_respect.unordered.factorsTRUE
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
0.9746
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9621
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9242
Cross-validation details (10-fold Crossvalidation)
KB relative information score
98.569
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4327
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4992
Cross-validation details (10-fold Crossvalidation)
Number of instances
554
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9626
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9621
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9989
Cross-validation details (10-fold Crossvalidation)
Recall
0.9621
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8667
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4996
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4347
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.87
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1308.8182
UserCPU time millis
3.24
UserCPU time millis testing
0.519
UserCPU time millis training
2.721