find a study someone has done using GLMs or Logistic Regression as a classifier and discuss it. The study must be in a machine learning setting i.e. they must be using it to classify and it must present a confusion matrix (or confusion matrices).
Discuss the conclusions. Discuss if you agree or disagree. Discuss the confusion matrix in sufficient detail (i.e. the relative importance of the cells TP, TN, FP, FN, etc.). Make 2 original contributions to the analysis that the author did not make (e.g. maybe you notice the model struggled with False Negatives but the author didnt call it out).
