Run
8691141

Run 8691141

Task 146066 (Supervised Classification) monks-problems-3 Uploaded 26-12-2017 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.trees1890
mlr.classif.ranger(9)_mtry5
mlr.classif.ranger(9)_min.node.size17
mlr.classif.ranger(9)_sample.fraction0.133851836225949
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
0.9906
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9639
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9278
Cross-validation details (10-fold Crossvalidation)
KB relative information score
478.9177
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0783
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
0.9646
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9639
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9989
Cross-validation details (10-fold Crossvalidation)
Recall
0.9639
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1568
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4996
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1734
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3471
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1793.4962
UserCPU time millis
1.63
UserCPU time millis testing
0.258
UserCPU time millis training
1.372