Run
8579394

Run 8579394

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(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees69
mlr.classif.ranger(15)_mtry2
mlr.classif.ranger(15)_min.node.size2
mlr.classif.ranger(15)_sample.fraction0.710887292656116
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
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
366.9778
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2005
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
0.401
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2336
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4671
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1156.9686
UserCPU time millis
0.27
UserCPU time millis testing
0.06
UserCPU time millis training
0.21