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Creating a binary classification application

As mentioned earlier, the application we will be creating is a car-value predictor. Given a set of attributes tied to a car, one can predict if the price is a good deal or not. The attributes included in this example aren't a definitive list of attributes, nor should they be used as-is in a production environment. However, one could use this as a starting point for predicting a simple true-or-false answer based on several attributes.

As with previous chapters, the complete project code, sample dataset, and project files can be downloaded here: https://github.com/PacktPublishing/Hands-On-Machine-Learning-With-ML.NET/tree/master/chapter04.

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