Run
8253346

Run 8253346

Task 145836 (Supervised Classification) blood-transfusion-service-center Uploaded 26-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees834
mlr.classif.ranger(9)_mtry4
mlr.classif.ranger(9)_min.node.size2
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.737881732755341
mlr.classif.ranger(9)_respect.unordered.factorsTRUE
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
0.6793
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7285
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2199
Cross-validation details (10-fold Crossvalidation)
KB relative information score
57.9896
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3057
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
0.7202
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7433
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.7433
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.842
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4345
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0203
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1872.0299
UserCPU time millis
6.223
UserCPU time millis testing
0.823
UserCPU time millis training
5.4