wevid.datasets: Example datasets

In mcol/wevid: Quantifying Performance of a Binary Classifier Through Weight of Evidence

Example datasets

Description

Example datasets

The wevid package comes with the following dataset:

• cleveland is based on cross-validated prediction of coronary disease in the Cleveland Heart Study (297 observations).

• pima is based on cross-validated prediction of diabetes in Pima Native Americans (768 observations).

• fitonly is based on cross-validated prediction of colorectal cancer from fecal immunochemical test (FIT) only in Michigan (242 observations). As most controls and some cases have have zero values in the FIT test, to fit densities to the sampled values of weight of evidence in controls and cases it is necessary to specify spike-slab mixtures.

Format

Each dataset consists of a data frame with the following variables:

• prior.p: Prior probabilities of case status.

• posterior.p: Posterior probabilities of case status.

• y: Case-control status.

Source

http://www.homepages.ed.ac.uk/pmckeigu/preprints/classify/wevidtutorial.html

mcol/wevid documentation built on March 22, 2022, 12:07 a.m.