Run
8550610

Run 8550610

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.trees412
mlr.classif.ranger(16)_mtry1
mlr.classif.ranger(16)_min.node.size112
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.233145587868057
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
0.726
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6591
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
26.8994
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3403
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
0.5807
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.762
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.762
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9374
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.406
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9534
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1320.9832
UserCPU time millis
0.551
UserCPU time millis testing
0.112
UserCPU time millis training
0.439