Run
8092876

Run 8092876

Task 146065 (Supervised Classification) monks-problems-2 Uploaded 18-10-2017 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.trees889
mlr.classif.ranger(9)_mtry6
mlr.classif.ranger(9)_min.node.size1
mlr.classif.ranger(9)_sample.fraction0.831021801847964
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
1
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9934
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9853
Cross-validation details (10-fold Crossvalidation)
KB relative information score
492.5779
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1031
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
0.9935
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9933
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9279
Cross-validation details (10-fold Crossvalidation)
Recall
0.9933
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2287
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4746
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1369
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2885
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1861.9586
UserCPU time millis
4.34
UserCPU time millis testing
0.567
UserCPU time millis training
3.773