OpenML
6352661

Run 6352661

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)_alpha0.650362137937918
mlr.classif.glmnet(11)_s0.01
mlr.classif.glmnet(11)_lambda0.0314142897963171
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
0.7477
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6871
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0747
Cross-validation details (10-fold Crossvalidation)
KB relative information score
42.3633
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3271
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
0.7709
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
0.9011
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3986
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.936
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1282.4502
UserCPU time millis
0.128
UserCPU time millis testing
0.072
UserCPU time millis training
0.056