Run
2209247

Run 2209247

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.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees773
mlr.classif.ranger(9)_mtry2
mlr.classif.ranger(9)_sample.fraction0.277891386579722
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
0.7315
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.764
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3083
Cross-validation details (10-fold Crossvalidation)
KB relative information score
97.8981
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3044
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
0.7641
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7874
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.7874
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8384
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3938
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9247
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1869.8223
UserCPU time millis
1.684
UserCPU time millis testing
0.222
UserCPU time millis training
1.462