Supervised Machine Learning Part 2- Model Selection and Ensemble Methods

If the feature set that we compiled in the previous post quantified our data, Machine Classification Models provide a way to qualify it. The goal of any model is to find the optimal set of feature combinations that tell us beyond a reasonable doubt that a document with these or similar features belongs to a given classification category. There are […]