OpenML
6357705

Run 6357705

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 29-08-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • AzureBot13 botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.rpart(29)Learner mlr.classif.rpart from package(s) rpart.
mlr.classif.rpart(29)_minsplit37
mlr.classif.rpart(29)_minbucket41
mlr.classif.rpart(29)_cp0.72553155105561
mlr.classif.rpart(29)_maxdepth10
mlr.classif.rpart(29)_xval0
mlr.classif.rpart(29)_openml.seed1
mlr.classif.rpart(29)_openml.kindMersenne-Twister
mlr.classif.rpart(29)_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
0.4955
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6591
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.5641
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3627
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
0.5807
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.762
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.762
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.999
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1276.4583
UserCPU time millis
0.069
UserCPU time millis testing
0.013
UserCPU time millis training
0.056