Run
2210307

Run 2210307

Task 145836 (Supervised Classification) blood-transfusion-service-center Uploaded 17-05-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.rpart(31)Learner mlr.classif.rpart from package(s) rpart.
mlr.classif.rpart(31)_minsplit28
mlr.classif.rpart(31)_minbucket50
mlr.classif.rpart(31)_cp0.0151609804015607
mlr.classif.rpart(31)_maxdepth16
mlr.classif.rpart(31)_xval0
mlr.classif.rpart(31)_openml.seed1
mlr.classif.rpart(31)_openml.kindMersenne-Twister
mlr.classif.rpart(31)_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
1873.5293
UserCPU time millis
0.085
UserCPU time millis testing
0.028
UserCPU time millis training
0.057