Run
8578080

Run 8578080

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(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees1668
mlr.classif.ranger(15)_mtry2
mlr.classif.ranger(15)_min.node.size1
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.331590430415236
mlr.classif.ranger(15)_num.threads1
mlr.classif.ranger(15)_verboseFALSE
mlr.classif.ranger(15)_openml.seed1
mlr.classif.ranger(15)_openml.kindMersenne-Twister
mlr.classif.ranger(15)_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
0.7202
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7453
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2527
Cross-validation details (10-fold Crossvalidation)
KB relative information score
91.1246
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.302
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
0.7421
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
0.8319
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4016
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9432
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1286.3258
UserCPU time millis
6.17
UserCPU time millis testing
0.88
UserCPU time millis training
5.29