The regression is mostly used for binary classification, which is taken into account for predictions of the kind this or that, yes or no, A or B, and so on. Logistic regression can additionally be used for multiclass classification, but it's also used in the simplest functions. You can break the assumptions into various segments, namely- Binary output value, removing of noise, gaussian distribution, removing correlated inputs, and so on.
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