Run
7926615

Run 7926615

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)_alpha0.434582660906017
mlr.classif.glmnet(11)_s0.01
mlr.classif.glmnet(11)_lambda0.00101744242097869
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
0.7518
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7074
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1291
Cross-validation details (10-fold Crossvalidation)
KB relative information score
72.5347
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3095
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
0.737
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
0.8526
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3928
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9225
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1341.0749
UserCPU time millis
0.118
UserCPU time millis testing
0.058
UserCPU time millis training
0.06