Run
2210383

Run 2210383

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)_minsplit46
mlr.classif.rpart(31)_minbucket30
mlr.classif.rpart(31)_cp0.029172639362514
mlr.classif.rpart(31)_maxdepth13
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
0.7084
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7698
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3329
Cross-validation details (10-fold Crossvalidation)
KB relative information score
99.702
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3051
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
0.7661
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7861
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.7861
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8403
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3937
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9246
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1868.1832
UserCPU time millis
0.304
UserCPU time millis testing
0.028
UserCPU time millis training
0.276