Run
4370885

Run 4370885

Task 145836 (Supervised Classification) blood-transfusion-service-center Uploaded 05-07-2017 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.trees1660
mlr.classif.ranger(13)_mtry3
mlr.classif.ranger(13)_sample.fraction0.322629659599625
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
0.7298
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.757
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2882
Cross-validation details (10-fold Crossvalidation)
KB relative information score
100.7492
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3021
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
0.7554
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7807
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.7807
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.832
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3945
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9265
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1297.6125
UserCPU time millis
20.828
UserCPU time millis testing
2.218
UserCPU time millis training
18.61