threshold_finder: Finds the threshold to cut continous predictions to maximize...
In ksboxer/CDIPATools: CDI Predictive Analytics Tools

Description Usage Arguments Value Examples

This function takes a given performance metric (precision, accuracy, or recall) that requires a threshold and returns the threshold value that maximizes the specified metric

1	threshold_finder(func, predictions, outcomes)

`func`	function, takes in other functions as arguments such as precision, accuracy and recall
`predictions`	list of numerics, predicted values
`outcomes`	list of numerics, actual values/outcomes

numeric, value from 0 to 1 that is the threshold that maximizes the metric func

threshold_finder(precision, predictions = FakePredictionResults$est.risk.score,
outcomes = FakePredictionResults$true.risk.bin)
threshold_finder(recall, predictions = FakePredictionResults$est.risk.score,
outcomes = FakePredictionResults$true.risk.bin)
threshold_finder(accuracy, predictions = FakePredictionResults$est.risk.score,
outcomes = FakePredictionResults$true.risk.bin)