I have been using R and caret to produce many machine learning models. I have been producing many Confusion Matrices and results tables.
R does a great job calculating all sorts of measures for outcomes:
- Sensitivity, Specificity, Pos. Pred. Value, Neg. Pred. Value, Prevalence, Detection Rate, Detection Prevalence, Balanced Accuracy
I know the formula for MCC and could calculate it from the original confusion matrix BUT is there another method using the results above?
Is there a conversion or trick given (any one of the results above) that would allow me to get the value of MCC?
My alternative is to go through the confusion matrices by hand.