mrIMLperformance | R Documentation |
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)
## Not run:
ModelPerf <- mrIMLperformance(yhats, Model=model1, Y=Y)
## End(Not run)
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