Run
8092838

Run 8092838

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.trees496
mlr.classif.ranger(9)_mtry6
mlr.classif.ranger(9)_min.node.size1
mlr.classif.ranger(9)_sample.fraction0.259662405541167
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
0.9879
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9338
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.851
Cross-validation details (10-fold Crossvalidation)
KB relative information score
248.1658
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2932
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
0.9376
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9351
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9279
Cross-validation details (10-fold Crossvalidation)
Recall
0.9351
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6505
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4746
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3268
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6885
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1868.5777
UserCPU time millis
1.608
UserCPU time millis testing
0.251
UserCPU time millis training
1.357