Run
2087783

Run 2087783

Task 3492 (Supervised Classification) monks-problems-1 Uploaded 27-04-2017 by OpenML_Bot R
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  • mlrRandomBot referenceV1 sciBenchV1.0
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Flow

mlr.classif.ranger(11)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(11)_num.trees2000
mlr.classif.ranger(11)_respect.unordered.factorsTRUE
mlr.classif.ranger(11)_num.threads1
mlr.classif.ranger(11)_verboseFALSE
mlr.classif.ranger(11)_openml.seed1
mlr.classif.ranger(11)_openml.kindMersenne-Twister
mlr.classif.ranger(11)_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
1
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9946
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9892
Cross-validation details (10-fold Crossvalidation)
KB relative information score
345.4498
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2208
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
0.9947
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9946
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.9946
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4417
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2525
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5049
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
2073.0161
UserCPU time millis
3.26
UserCPU time millis testing
0.44
UserCPU time millis training
2.82