Question: 1) Name a several linear and non linear classifiers. Using a linear model that perfectly separates a set of data points with two labels is

1) Name a several linear and non linear classifiers. Using a linear model that perfectly separates a set of data points with two labels is not always a good idea. Why is that? Give an example. What methods can you use to mitigate this

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