NBA Hall of Fame Predictions
Project Scope:
This project applies machine learning classification modeling to predict whether or not eligible NBA players will be voted into the Naismith Memorial Basketball Hall of Fame. For our purpose, we will be more focused on predictive vs inference models. Precision will be a key metric for our final model, as we want to maximize our positive predictive value, meaning that when our model predicts that an NBA player is an HOFer, they actually are one.
Out of the 4,374 eligible NBA Players on 177 of them have been voted into the Hall of Fame. Based on this, can you accurately predict if eligible NBA players will be elected into the Naismith Memorial Basketball Hall of Fame based on career statistics and accolades?