TLDR
in healthcare often output binary decisions comparable to disease or no disease, which by themselves cannot produce a meaningful AUC.
AUC remains to be the usual technique to compare risk and detection models in...
, we'll implement AUC in Excel.
AUC is normally used for classification tasks as a performance metric.
But we start with a confusion matrix, because that's where everyone begins in practice. Then we'll see why a...
Are you Searching Parameters Efficiently?We are usually not here for claiming the models with the very best performances by cents improvements of validation metrics. We must pursue business goals. In our simulated scenario,...