Run
2170689

Run 2170689

Task 145836 (Supervised Classification) blood-transfusion-service-center Uploaded 16-05-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.glmnet(5)Learner mlr.classif.glmnet from package(s) glmnet.
mlr.classif.glmnet(5)_alpha0.500333732925355
mlr.classif.glmnet(5)_s0.01
mlr.classif.glmnet(5)_lambda0.0045830808735291
mlr.classif.glmnet(5)_openml.seed1
mlr.classif.glmnet(5)_openml.kindMersenne-Twister
mlr.classif.glmnet(5)_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
0.7522
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7032
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1169
Cross-validation details (10-fold Crossvalidation)
KB relative information score
69.3398
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3117
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
0.7341
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
0.8586
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3931
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9232
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1770.6836
UserCPU time millis
0.106
UserCPU time millis testing
0.043
UserCPU time millis training
0.063