Run
8578865

Run 8578865

Task 146065 (Supervised Classification) monks-problems-2 Uploaded 27-11-2017 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.trees1235
mlr.classif.ranger(15)_mtry3
mlr.classif.ranger(15)_min.node.size22
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.599474218045361
mlr.classif.ranger(15)_respect.unordered.factorsTRUE
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
0.8757
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6975
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3257
Cross-validation details (10-fold Crossvalidation)
KB relative information score
111.2752
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.378
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
0.8128
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7488
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9279
Cross-validation details (10-fold Crossvalidation)
Recall
0.7488
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8386
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4746
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4123
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8686
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1015.262
UserCPU time millis
5.02
UserCPU time millis testing
0.63
UserCPU time millis training
4.39