OpenML
4378784

Run 4378784

Task 145836 (Supervised Classification) blood-transfusion-service-center Uploaded 05-07-2017 by OpenML_Bot R
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  • AzureBot19 botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees785
mlr.classif.ranger(13)_mtry3
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.594799349433742
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
0.7156
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7479
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2629
Cross-validation details (10-fold Crossvalidation)
KB relative information score
92.6616
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
0.7438
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7714
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.7714
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8281
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4048
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9506
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1270.6789
UserCPU time millis
15.005
UserCPU time millis testing
1.529
UserCPU time millis training
13.476