OpenML
5837826

Run 5837826

Task 3492 (Supervised Classification) monks-problems-1 Uploaded 13-07-2017 by OpenML_Bot R
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  • AzureBot3 botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees12
mlr.classif.ranger(13)_mtry4
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.715455912053585
mlr.classif.ranger(13)_num.threads1
mlr.classif.ranger(13)_verboseFALSE
mlr.classif.ranger(13)_openml.seed1
mlr.classif.ranger(13)_openml.kindMersenne-Twister
mlr.classif.ranger(13)_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
0.9997
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9874
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9748
Cross-validation details (10-fold Crossvalidation)
KB relative information score
421.0289
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1417
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
556
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9876
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9874
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.9874
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2835
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2005
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4009
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1282.9662
UserCPU time millis
0.448
UserCPU time millis testing
0.1
UserCPU time millis training
0.348