I wrote this post on Cardinal Path’s blog. There is a lot to consider when building a model: Data leakage. Data leakage occurs when the data you are using to train a machine learning algorithm happens to include unexpected information related to what you are trying to predict, allowing the model or algorithm to make unrealistically […]