Case study – predicting political affiliation

For our next use case, we will use congressional voting records from the US House of Representatives to build a classification tree in order to predict whether a given congressman or woman is a Republican or a Democrat.

The specific congressional voting dataset that we will use is available from both the GitHub repository accompanying this book and UCI's machine learning repository at https://archive.ics.uci.edu/ml/datasets/congressional+voting+records. It has been cited by Dua, D., and Karra Taniskidou, E. (2017). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.

If you open congressional-voting-data/house-votes-84.data ...

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