Run
8588245

Run 8588245

Task 146066 (Supervised Classification) monks-problems-3 Uploaded 29-11-2017 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.trees1608
mlr.classif.ranger(9)_mtry1
mlr.classif.ranger(9)_min.node.size89
mlr.classif.ranger(9)_sample.fraction0.664219504897483
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
0.9817
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
204.9688
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3502
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
0.7016
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4996
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3575
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7156
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
2158.6933
UserCPU time millis
1.289
UserCPU time millis testing
0.194
UserCPU time millis training
1.095