Run
8785094

Run 8785094

Task 146065 (Supervised Classification) monks-problems-2 Uploaded 11-01-2018 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(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees1902
mlr.classif.ranger(16)_mtry4
mlr.classif.ranger(16)_min.node.size2
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.177059656498022
mlr.classif.ranger(16)_respect.unordered.factorsTRUE
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
0.9106
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7924
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5283
Cross-validation details (10-fold Crossvalidation)
KB relative information score
136.4623
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3616
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
0.8467
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8136
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9279
Cross-validation details (10-fold Crossvalidation)
Recall
0.8136
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8023
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4746
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3957
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8336
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1244.0039
UserCPU time millis
7.026
UserCPU time millis testing
0.951
UserCPU time millis training
6.075