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Logistic regression is both of those easy and strong. However, it's customarily used only in binary classification problems. Although it can be extrapolated and used in multi-course classification problems, this is never done.

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A linear programming issue bargains by using a linear perform to get maximized or minimized subject matter to certain constraints in the shape of linear equations or inequalities.

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Non-negativity restriction ensures that the values for determination variables should be bigger than or equal to 0.

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