Run
8584758

Run 8584758

Task 146064 (Supervised Classification) monks-problems-1 Uploaded 28-11-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees311
mlr.classif.ranger(9)_mtry3
mlr.classif.ranger(9)_min.node.size13
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.458384036249481
mlr.classif.ranger(9)_respect.unordered.factorsTRUE
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_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
0.982
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.964
Cross-validation details (10-fold Crossvalidation)
KB relative information score
349.8546
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2132
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
0.9826
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.982
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.982
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4264
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2563
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5125
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1856.7467
UserCPU time millis
0.723
UserCPU time millis testing
0.085
UserCPU time millis training
0.638