Run
8779352

Run 8779352

Task 9889 (Supervised Classification) wilt Uploaded 07-01-2018 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.trees1660
mlr.classif.ranger(16)_mtry4
mlr.classif.ranger(16)_min.node.size4481
mlr.classif.ranger(16)_sample.fraction0.776242554700002
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
0.4982
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9198
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4.7124
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.102
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1022
Cross-validation details (10-fold Crossvalidation)
Number of instances
4839
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.895
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9461
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3037
Cross-validation details (10-fold Crossvalidation)
Recall
0.9461
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9981
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2259
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2259
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1380.5243
UserCPU time millis
5.883
UserCPU time millis testing
0.97
UserCPU time millis training
4.913