OpenML
1862281

Run 1862281

Task 37 (Supervised Classification) diabetes Uploaded 28-03-2017 by Philipp Probst
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.glmnet(4)Learner mlr.classif.glmnet from package(s) glmnet.
mlr.classif.glmnet(4)_alpha0.824410709086806
mlr.classif.glmnet(4)_s0.01
mlr.classif.glmnet(4)_lambda0.0214944163532419
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
0.8281
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7592
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4586
Cross-validation details (10-fold Crossvalidation)
KB relative information score
222.8959
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.332
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4545
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7649
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7695
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7695
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7304
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3991
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8373
Cross-validation details (10-fold Crossvalidation)