OpenML
4376931

Run 4376931

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.trees719
mlr.classif.ranger(13)_mtry2
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.984364251769148
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
0.6972
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.736
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2293
Cross-validation details (10-fold Crossvalidation)
KB relative information score
84.3159
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2996
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
0.7292
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7594
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.7594
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8252
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4137
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9715
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1294.7799
UserCPU time millis
16.717
UserCPU time millis testing
1.855
UserCPU time millis training
14.862