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
For a given actuals and predicted probability scores, returns the confusion matrix showing the count of predicted events and non-events against actual events and non events.
Details
For a given actuals and predicted probability scores, the confusion matrix showing the count of predicted events and non-events against actual events and non events.