We use a best-fitted line to predict a continuous target in regression-based algorithms like linear regression.

What if we try to use the linear regression algorithm to predict some classes (for example, 0/1)? That isn’t a good idea (we typically convert the categorical targets or labels to integer classes 0/1).

To accomplish a classification task, we consider the line as a boundary that splits the space instead of fitting the points.

Regression vs. classification

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