Run
8579480

Run 8579480

Task 146065 (Supervised Classification) monks-problems-2 Uploaded 28-11-2017 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.trees148
mlr.classif.ranger(15)_mtry4
mlr.classif.ranger(15)_min.node.size4
mlr.classif.ranger(15)_sample.fraction0.239247963321395
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
0.9243
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7995
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.544
Cross-validation details (10-fold Crossvalidation)
KB relative information score
147.4721
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3564
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
0.8478
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8186
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9279
Cross-validation details (10-fold Crossvalidation)
Recall
0.8186
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7907
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4746
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3899
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8215
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1438.0552
UserCPU time millis
0.51
UserCPU time millis testing
0.06
UserCPU time millis training
0.45