Run
7926893

Run 7926893

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 10-09-2017 by OpenML_Bot R
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  • AzureBot13 botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.glmnet(11)Learner mlr.classif.glmnet from package(s) glmnet.
mlr.classif.glmnet(11)_alpha0.942480629775673
mlr.classif.glmnet(11)_s0.01
mlr.classif.glmnet(11)_lambda0.00217943700099401
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
0.752
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7049
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1216
Cross-validation details (10-fold Crossvalidation)
KB relative information score
70.7912
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3106
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
0.7334
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7701
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.7701
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8556
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.393
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9229
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1338.3746
UserCPU time millis
0.105
UserCPU time millis testing
0.058
UserCPU time millis training
0.047