Run
8550637

Run 8550637

Task 145836 (Supervised Classification) blood-transfusion-service-center Uploaded 21-11-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees1301
mlr.classif.ranger(16)_mtry2
mlr.classif.ranger(16)_min.node.size9
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.637467921013013
mlr.classif.ranger(16)_num.threads1
mlr.classif.ranger(16)_verboseFALSE
mlr.classif.ranger(16)_openml.seed1
mlr.classif.ranger(16)_openml.kindMersenne-Twister
mlr.classif.ranger(16)_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
0.7184
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7432
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2474
Cross-validation details (10-fold Crossvalidation)
KB relative information score
93.585
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
0.7391
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7687
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.7687
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.828
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4032
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9468
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1338.7486
UserCPU time millis
5.562
UserCPU time millis testing
0.893
UserCPU time millis training
4.669