OpenML
4370181

Run 4370181

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.trees718
mlr.classif.ranger(13)_mtry4
mlr.classif.ranger(13)_sample.fraction0.232447404460981
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
0.7341
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7672
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3167
Cross-validation details (10-fold Crossvalidation)
KB relative information score
101.8124
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3024
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
0.7692
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7914
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.7914
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.833
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3924
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9214
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1282.423
UserCPU time millis
8.333
UserCPU time millis testing
0.902
UserCPU time millis training
7.431