Run
4391684

Run 4391684

Task 145836 (Supervised Classification) blood-transfusion-service-center Uploaded 06-07-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • AzureBot19 botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees187
mlr.classif.ranger(13)_mtry3
mlr.classif.ranger(13)_sample.fraction0.864424503850751
mlr.classif.ranger(13)_num.threads1
mlr.classif.ranger(13)_verboseFALSE
mlr.classif.ranger(13)_openml.seed1
mlr.classif.ranger(13)_openml.kindMersenne-Twister
mlr.classif.ranger(13)_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
0.7096
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7458
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2576
Cross-validation details (10-fold Crossvalidation)
KB relative information score
84.8011
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3028
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.363
Cross-validation details (10-fold Crossvalidation)
Number of instances
748
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7409
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7687
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.7687
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.834
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.408
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.958
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1300.0208
UserCPU time millis
4.55
UserCPU time millis testing
0.37
UserCPU time millis training
4.18