Machine Learning for Data Mining

Predicting continuous outcomes

Until now, we have spent all of our time talking about categorical outcomes and most of those examples apply to continuous outcomes, but in this section we're going to focus exclusively on continuous outcome variables.

As I mentioned previously, when we're talking about continuous outcome predictions or variables, everything that we've talked about in this book still applies: the main difference, though, is going to be in terms of how we end up combining predictions.

Here, in this example, we can see that we built three models and we have predictions from each one of those models:

When we want to combine the ...