recall: Calculate the Recall for predictions

In ksboxer/CDIPATools: CDI Predictive Analytics Tools

Description

This function takes the predictions of a model, (can be either binary 0 or 1, or continous numeric [0,1]) and calculates the recall based on the predictions. Given that predictions need to binary for the recall calculates you need to pass in a threshold to but the predictions off. If the predictions are already binary, then pass in .5

Usage

recall(predictions, outcomes, threshold)

Arguments

predictions	list of numerics, predicted values
outcomes	list of numerics, actual values/outcomes
threshold	numeric, value between 0 - 1 to cut predictions that are continous within binary 0s and 1s

Value

numeric, returns recall value

Examples

recall(predictions = FakePredictionResults$est.risk.score,
outcomes = FakePredictionResults$true.risk.bin, threshold = .5)

ksboxer/CDIPATools documentation built on June 5, 2019, 8:29 a.m.