Run
8579396

Run 8579396

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.trees107
mlr.classif.ranger(15)_mtry2
mlr.classif.ranger(15)_min.node.size8
mlr.classif.ranger(15)_sample.fraction0.11117056235671
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
0.9806
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.824
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6583
Cross-validation details (10-fold Crossvalidation)
KB relative information score
198.468
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3462
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
0.8727
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8291
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.8291
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6923
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3726
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7451
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1315.3434
UserCPU time millis
0.19
UserCPU time millis testing
0.05
UserCPU time millis training
0.14