Summary evaluation of predictive performance
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Densities object produced by
Further arguments passed to or from other methods. These are currently ignored.
summary returns a data frame that reports the number of cases and
controls, the test log-likelihood, the crude and model-based C-statistic
and expected weight of evidence Lambda.
mean returns a numeric vector listing the mean densities of the weight
of evidence in controls and in cases.
auroc.model return the area under the ROC curve
according to the crude and the model-based densities of weight of evidence,
lambda.model return the expected weight of
evidence (expected information for discrimination) in bits from the crude
and the model-based densities, respectively.
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