OpenML
6353165

Run 6353165

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 29-08-2017 by OpenML_Bot R
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Flow

mlr.classif.glmnet(11)Learner mlr.classif.glmnet from package(s) glmnet.
mlr.classif.glmnet(11)_alpha0.111633830703795
mlr.classif.glmnet(11)_s0.01
mlr.classif.glmnet(11)_lambda0.0698014438123142
mlr.classif.glmnet(11)_openml.seed1
mlr.classif.glmnet(11)_openml.kindMersenne-Twister
mlr.classif.glmnet(11)_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
0.7542
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.69
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0828
Cross-validation details (10-fold Crossvalidation)
KB relative information score
46.8569
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3286
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
0.7756
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7727
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.7727
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9052
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3987
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9362
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1256.9638
UserCPU time millis
0.109
UserCPU time millis testing
0.061
UserCPU time millis training
0.048