Run
8798165

Run 8798165

Task 146066 (Supervised Classification) monks-problems-3 Uploaded 19-01-2018 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(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees134
mlr.classif.ranger(9)_mtry6
mlr.classif.ranger(9)_min.node.size36
mlr.classif.ranger(9)_sample.fraction0.762631859187968
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
0.9931
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9639
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9278
Cross-validation details (10-fold Crossvalidation)
KB relative information score
500.6235
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0534
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
0.9646
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9639
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9989
Cross-validation details (10-fold Crossvalidation)
Recall
0.9639
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.107
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4996
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1481
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2964
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1873.4078
UserCPU time millis
0.191
UserCPU time millis testing
0.033
UserCPU time millis training
0.158