All-NBA Predict #29 – Classifying All-NBA Players (Part XI – Predicting The Players)

So I’ve just spend the last… Jesus… 10 posts talking about random mumbo jumbo… Sensitivity, specificity, AUC, ROC… But I really haven’t actually said “Hey, Lebron’s probably going to be all-NBA”. Don’t need an algorithm for that one, fortunately, but what about… one Paul George? And I say that basically cheating in hindsight because the […]

Read More All-NBA Predict #29 – Classifying All-NBA Players (Part XI – Predicting The Players)

All-NBA Predict #25 – Classifying All-NBA Players (Part VIII – Neural Networks)

Alright, we’re running out of classifiers for us to try here. We’ve already gotten some pretty decent results thus far. My personal favourite has probably been just a single decision tree or the random forest. The interpretability of those models are pretty cool. LDA and QDA are also pretty neat because of their simplicity, but […]

Read More All-NBA Predict #25 – Classifying All-NBA Players (Part VIII – Neural Networks)