Run
8609533

Run 8609533

Task 146066 (Supervised Classification) monks-problems-3 Uploaded 03-12-2017 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.trees1052
mlr.classif.ranger(15)_mtry4
mlr.classif.ranger(15)_min.node.size100
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.18935377295129
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
0.4966
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3556
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.0497
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4992
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4992
Cross-validation details (10-fold Crossvalidation)
Number of instances
554
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.2703
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5199
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9989
Cross-validation details (10-fold Crossvalidation)
Recall
0.5199
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0001
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4996
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4996
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1414.901
UserCPU time millis
0.72
UserCPU time millis testing
0.16
UserCPU time millis training
0.56