Log Loss

By Jon

Log Loss: Penalising False Classifications As we have seen, pure accuracy of our machine learning model is an evaluation metric that leaves a lot to be desired. Now we move on to a slightly more…

Accuracy

By Jon

Model Accuracy Welcome to our first model evaluations post of the series! We’ll be starting with the most simple, perhaps most obvious technique; accuracy. Model accuracy can be informally defined as the proportion of predictions…

Model Evaluation Intro

By Jon

Model Evaluation Methods in Machine Learning Machine learning models are fantastic tools at our disposal.  They can be used for continuous outputs, like house prices or populations, or discrete and categorical outputs like which type…