Run
2081945

Run 2081945

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 21-04-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(10)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(10)_num.trees1999
mlr.classif.ranger(10)_mtry1
mlr.classif.ranger(10)_replaceFALSE
mlr.classif.ranger(10)_sample.fraction0.258629160374403
mlr.classif.ranger(10)_respect.unordered.factorsTRUE
mlr.classif.ranger(10)_num.threads1
mlr.classif.ranger(10)_verboseFALSE
mlr.classif.ranger(10)_openml.seed1
mlr.classif.ranger(10)_openml.kindMersenne-Twister
mlr.classif.ranger(10)_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
0.7323
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7539
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2731
Cross-validation details (10-fold Crossvalidation)
KB relative information score
87.2871
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3102
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
0.7587
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7848
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.7848
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8545
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3939
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.925
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
764.4981
UserCPU time millis
7.28
UserCPU time millis testing
1.08
UserCPU time millis training
6.2