OpenML
1861808

Run 1861808

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 28-03-2017 by Philipp Probst
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Flow

mlr.classif.glmnet(4)Learner mlr.classif.glmnet from package(s) glmnet.
mlr.classif.glmnet(4)_alpha0.887607802404091
mlr.classif.glmnet(4)_s0.01
mlr.classif.glmnet(4)_lambda0.0426311644658702
mlr.classif.glmnet(4)_openml.seed1
mlr.classif.glmnet(4)_openml.kindMersenne-Twister
mlr.classif.glmnet(4)_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.

17 Evaluation measures

Area under ROC curve
0.7287
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6769
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0477
Cross-validation details (10-fold Crossvalidation)
KB relative information score
25.3677
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3358
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
0.7891
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7687
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.7687
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9249
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4038
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9483
Cross-validation details (10-fold Crossvalidation)