R/mrIMLperformance.R
mrIMLperformance.Rd
Wrapper to calculate performance metrics (Mathews correlation coefficient, sensitivity and specificity) for each model for each response variable.
mrIMLperformance(yhats, Model, Y, mode = "regression")
yhats  A 

Model  A 
Y  A 
mode 

Outputs a dataframe of commonly used metric that can be used to compare model performance of classification models. Performance metrics are based on testing data. But MCC is useful (higher numbers = better fit)