OpenML
4370806

Run 4370806

Task 145836 (Supervised Classification) blood-transfusion-service-center Uploaded 05-07-2017 by OpenML_Bot R
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Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees8
mlr.classif.ranger(13)_mtry1
mlr.classif.ranger(13)_sample.fraction0.391661373781972
mlr.classif.ranger(13)_respect.unordered.factorsTRUE
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
0.7134
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7454
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.252
Cross-validation details (10-fold Crossvalidation)
KB relative information score
71.9026
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3107
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
0.7432
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7727
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.7727
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8558
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.403
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9462
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1280.3387
UserCPU time millis
0.181
UserCPU time millis testing
0.039
UserCPU time millis training
0.142