The goal of a regression problem is to make a prediction of a numeric value. For example, you might want to predict the price of a house based on its square footage, age, ZIP code and so on.
The goal of a binary classification problem is to make a prediction that can be one of just two possible values. For example, you might want to predict the sex (male or female) of a person based on ...
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