Run
8539994

Run 8539994

Task 146065 (Supervised Classification) monks-problems-2 Uploaded 18-11-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees879
mlr.classif.ranger(9)_mtry1
mlr.classif.ranger(9)_min.node.size30
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.987625271850266
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_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
0.8854
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5213
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
59.969
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4142
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
0.919
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4746
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.44
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9271
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1793.0098
UserCPU time millis
1.082
UserCPU time millis testing
0.155
UserCPU time millis training
0.927