Calculate the negative predictive value for a given set of actuals and predicted probability scores.
Usage
npv(actuals, predictedScores, threshold = 0.5)
Arguments
actuals
The actual binary flags for the response variable. It can take a numeric vector containing values of either 1 or 0, where 1 represents the 'Good' or 'Events' while 0 represents 'Bad' or 'Non-Events'.
predictedScores
The prediction probability scores for each observation. If your classification model gives the 1/0 predcitions, convert it to a numeric vector of 1's and 0's.
threshold
If predicted value is above the threshold, it will be considered as an event (1), else it will be a non-event (0). Defaults to 0.5.
Value
The negative predictive value for a given set of actuals and probability scores, with the specified cutoff threshold.
Details
For a given given binary response actuals and predicted probability scores, negative predictive value is defined as the proportion of observations without the event out of the total negative predictions.