Logistic regression is a very robust machine learning technique which can be used in three modes: binary, multinomial and ordinal. We talk about assumptions and some misconceptions. For example, people believe that because logistic regression fits only a linear separator in the expanded dimensional space it wouldn’t be able to fit a complex boundary in the original space. Also, people normally use either linear regression or multinomial logistic regression when they should be using ordinal logistic regression.
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