Run
8056222

Run 8056222

Task 145836 (Supervised Classification) blood-transfusion-service-center Uploaded 18-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees866
mlr.classif.ranger(9)_mtry2
mlr.classif.ranger(9)_min.node.size114
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.418262585694902
mlr.classif.ranger(9)_respect.unordered.factorsTRUE
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_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
0.734
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6739
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0368
Cross-validation details (10-fold Crossvalidation)
KB relative information score
53.0277
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.323
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
0.714
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7634
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.7634
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8896
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3979
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9345
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1865.3572
UserCPU time millis
1.003
UserCPU time millis testing
0.183
UserCPU time millis training
0.82