Run
5832525

Run 5832525

Task 3492 (Supervised Classification) monks-problems-1 Uploaded 13-07-2017 by OpenML_Bot R
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  • AzureBot3 botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees29
mlr.classif.ranger(13)_mtry1
mlr.classif.ranger(13)_sample.fraction0.220398683520034
mlr.classif.ranger(13)_num.threads1
mlr.classif.ranger(13)_verboseFALSE
mlr.classif.ranger(13)_openml.seed1
mlr.classif.ranger(13)_openml.kindMersenne-Twister
mlr.classif.ranger(13)_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
0.9247
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8218
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6511
Cross-validation details (10-fold Crossvalidation)
KB relative information score
134.4983
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4017
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
0.8557
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8255
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.8255
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8033
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4142
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8285
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1315.9164
UserCPU time millis
0.213
UserCPU time millis testing
0.046
UserCPU time millis training
0.167