AdaBoost ("adaptive boosting") is a powerful machine learning technique for binary classification -- predicting a variable that has two possible values. This article presents a demo program that ...

However, the vast majority of machine learning binary classification algorithms use 0-1 encoding for the target variable, so it makes more sense to programmatically convert so that the 0-1 encoded ...