Built a classifier model that predicts which current MLB players are on track to becoming Hall of Famers (HOFers). Feature engineered rate statistics whereby current players at different positions could be compared to HOFerrs at those same positions, built various classifier models, of which a random forest model was deemed to be the best based on cross validation. Also used cosine similarity to determine which HOFers a current player is most similar to based on his position and career stage.