Using the principle of Occam's razor to optimize your supervised learning model.
Overfitting / Underfitting – How Well Does Your Model Fit?
Supervised machine learning is inferring a function which will map input variables to an output variable. Let’s unpack this definition a bit with an example. Say that we are a bank that wants to determine to whom we should give a loan. The objective, therefore, is to infer a function that examines a set … Continue reading Overfitting / Underfitting – How Well Does Your Model Fit?