Run
8657677

Run 8657677

Task 146065 (Supervised Classification) monks-problems-2 Uploaded 16-12-2017 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.trees1393
mlr.classif.ranger(16)_mtry4
mlr.classif.ranger(16)_min.node.size287
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.495493503753096
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
0.491
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5213
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.2289
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4505
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4507
Cross-validation details (10-fold Crossvalidation)
Number of instances
601
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.432
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6572
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9279
Cross-validation details (10-fold Crossvalidation)
Recall
0.6572
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9996
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4746
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4746
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1369.5407
UserCPU time millis
0.763
UserCPU time millis testing
0.154
UserCPU time millis training
0.609