Run
8779706

Run 8779706

Task 3492 (Supervised Classification) monks-problems-1 Uploaded 07-01-2018 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees35
mlr.classif.ranger(16)_mtry6
mlr.classif.ranger(16)_min.node.size3
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.479832299891859
mlr.classif.ranger(16)_num.threads1
mlr.classif.ranger(16)_verboseFALSE
mlr.classif.ranger(16)_openml.seed1
mlr.classif.ranger(16)_openml.kindMersenne-Twister
mlr.classif.ranger(16)_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
1
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
1
Cross-validation details (10-fold Crossvalidation)
KB relative information score
477.2919
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0884
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
1
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
1
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
1
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1768
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1281
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2563
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1372.6313
UserCPU time millis
0.112
UserCPU time millis testing
0.025
UserCPU time millis training
0.087