Run
8660462

Run 8660462

Task 146066 (Supervised Classification) monks-problems-3 Uploaded 20-12-2017 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(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees1729
mlr.classif.ranger(16)_mtry6
mlr.classif.ranger(16)_min.node.size156
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.35681621497497
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
0.9565
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8425
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6865
Cross-validation details (10-fold Crossvalidation)
KB relative information score
241.5731
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3104
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4992
Cross-validation details (10-fold Crossvalidation)
Number of instances
554
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8584
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8448
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9989
Cross-validation details (10-fold Crossvalidation)
Recall
0.8448
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6218
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4996
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3428
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6861
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1230.129
UserCPU time millis
1.665
UserCPU time millis testing
0.254
UserCPU time millis training
1.411