g the other heart disease-related variables?  

2) **Binary classification examples:** How reliably can different algorithms predict a person's heart disease status using the other variables?  

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# Data preprocessing

A first task will be to split our data into training and test sets. This not only allows us to build a model on training data and evaluate its performance on test/holdout data, but it is also a good way to get familiar with cross-validation. 

The short version is that we need to:  
1. Def