OpenML
4388389

Run 4388389

Task 145836 (Supervised Classification) blood-transfusion-service-center Uploaded 06-07-2017 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.trees793
mlr.classif.ranger(13)_mtry4
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.909402576833963
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
0.688
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7326
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2236
Cross-validation details (10-fold Crossvalidation)
KB relative information score
73.1811
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3006
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
0.7245
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7527
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.7527
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8279
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4227
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9927
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1297.3641
UserCPU time millis
22.063
UserCPU time millis testing
1.85
UserCPU time millis training
20.213