Run
8551043

Run 8551043

Task 146065 (Supervised Classification) monks-problems-2 Uploaded 21-11-2017 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(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees1054
mlr.classif.ranger(15)_mtry3
mlr.classif.ranger(15)_min.node.size8
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.846125515480526
mlr.classif.ranger(15)_respect.unordered.factorsTRUE
mlr.classif.ranger(15)_num.threads1
mlr.classif.ranger(15)_verboseFALSE
mlr.classif.ranger(15)_openml.seed1
mlr.classif.ranger(15)_openml.kindMersenne-Twister
mlr.classif.ranger(15)_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
0.9991
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9765
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9476
Cross-validation details (10-fold Crossvalidation)
KB relative information score
347.2041
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2231
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
0.9772
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9767
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9279
Cross-validation details (10-fold Crossvalidation)
Recall
0.9767
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4951
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4746
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2606
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5491
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1389.416
UserCPU time millis
3.15
UserCPU time millis testing
0.37
UserCPU time millis training
2.78