perf.calc {OmicsMarkeR} | R Documentation |
Calculates confusion matrix and ROC statistics comparing the results of the fitted models to the observed groups.
perf.calc(data, lev = NULL, model = NULL)
data |
dataframe of predicted (pred) and observed (obs) groups |
lev |
Group levels |
model |
String indicating which model was initially run |
Returns confusion matrix and ROC performance statistics including Accuracy, Kappa, ROC.AUC, Sensitivity, Specificity, Positive Predictive Value, and Negative Predictive Value
caret function confusionMatrix