Run
8550989

Run 8550989

Task 146065 (Supervised Classification) monks-problems-2 Uploaded 21-11-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees828
mlr.classif.ranger(15)_mtry6
mlr.classif.ranger(15)_min.node.size7
mlr.classif.ranger(15)_sample.fraction0.97647291959729
mlr.classif.ranger(15)_num.threads1
mlr.classif.ranger(15)_verboseFALSE
mlr.classif.ranger(15)_openml.seed1
mlr.classif.ranger(15)_openml.kindMersenne-Twister
mlr.classif.ranger(15)_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
0.9998
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.99
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9779
Cross-validation details (10-fold Crossvalidation)
KB relative information score
455.1118
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.136
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
0.9901
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.99
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9279
Cross-validation details (10-fold Crossvalidation)
Recall
0.99
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3018
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4746
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1706
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3594
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1297.3988
UserCPU time millis
2.94
UserCPU time millis testing
0.29
UserCPU time millis training
2.65