Implementing stacked generalization by combining predictions

In this section, we'll look at how to implement stacked generalization from scratch.

We will carry out the following steps to get started:

1. Build three base learners for stacking.
2. Combine the predictions from each of the base learners.
3. Build the meta-learner using another algorithm.

Getting ready...

In this example, we use a dataset from the UCI ML Repository on credit card defaults. This dataset contains information on default payments, demographic factors, credit data, history of payments, and bill statements of credit card clients. The data and the data descriptions are provided in the GitHub.

We will start by loading the required libraries and reading our...