Is your model good enough? Evaluation metrics in Classification and Regression

Was working on my research with sklearn, but realized that choosing the right evaluation metrics was always a problem to me. If someone asks me ,”does your model performs well?” The first thing in my mind is “accuracy”. Besides the accuracy, there are a lot, depending on your own problem.

Lucky or not: Monte Carlo Method

AlphaGo! http://c.brightcove.com/services/viewer/federated_f9?isVid=1&isUI=1 When you play any games, probably you have strategies or experiences. But you could not deny that some times you need luck, which data scientists would say a “random choice”. Monte Carlo Method provides only an approximate optimizer, thus giving you the luck to win a game.