Run
8546455

Run 8546455

Task 146065 (Supervised Classification) monks-problems-2 Uploaded 20-11-2017 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.trees219
mlr.classif.ranger(9)_mtry3
mlr.classif.ranger(9)_min.node.size2
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.622718813433312
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
0.9994
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9833
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9628
Cross-validation details (10-fold Crossvalidation)
KB relative information score
373.2045
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2027
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4507
Cross-validation details (10-fold Crossvalidation)
Number of instances
601
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9835
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9834
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9279
Cross-validation details (10-fold Crossvalidation)
Recall
0.9834
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4498
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4746
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2408
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5073
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1800.5501
UserCPU time millis
1.147
UserCPU time millis testing
0.127
UserCPU time millis training
1.02