MoneyBalling Cricket: Predicting Centuries -- Base Model

Centuries are a celebrated event in cricket, usually resulting in match-winning innings by the batsman. As a statistics enthusiast, it felt like a great problem to model because it is not only immensely interesting, the novelty of the problem did make it challenging. This piece explains the reasoning behind how I prepared the data, what model I used, and the evaluation criteria. In a previous post, I did a probabilistic analysis of centuries, a key finding was that unconditioned on anything else, the empirically estimated probability of a batsman knock resulting in a century is only 3.16%. This is important because when modeling a classification problem, class prevalence is probably the most crucial factor in determining the efficacy of your model(s).