OpenML
6357536

Run 6357536

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 29-08-2017 by OpenML_Bot R
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Flow

mlr.classif.rpart(29)Learner mlr.classif.rpart from package(s) rpart.
mlr.classif.rpart(29)_minsplit37
mlr.classif.rpart(29)_minbucket47
mlr.classif.rpart(29)_cp0.0252197918016464
mlr.classif.rpart(29)_maxdepth23
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
0.7095
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7741
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3438
Cross-validation details (10-fold Crossvalidation)
KB relative information score
100.5058
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3045
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
0.7718
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
0.8387
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3922
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9211
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1282.5406
UserCPU time millis
0.071
UserCPU time millis testing
0.015
UserCPU time millis training
0.056