Run
8565450

Run 8565450

Task 145836 (Supervised Classification) blood-transfusion-service-center Uploaded 27-11-2017 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.trees642
mlr.classif.ranger(9)_mtry2
mlr.classif.ranger(9)_min.node.size262
mlr.classif.ranger(9)_sample.fraction0.593494937126525
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
0.7304
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6591
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
23.5649
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3357
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
0.9248
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4036
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9477
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1857.1406
UserCPU time millis
0.59
UserCPU time millis testing
0.124
UserCPU time millis training
0.466