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(1) First, we will discuss the logistic regression [1].
Logistic regression is a well-known statistical method for predicting the probability of an event from multiple explanatory variables.
It is widely used in supervised classification tasks in machine learning
The output of the method is a value between 0 and 1, that can be regarded as probability of class membership.
Logistic regression makes predictions based on a linear combination of features.
(2) Multi-class logistic regression uses multiple classifiers, logistic regressions, simultaneously to perform multi-class classification tasks.
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IEEE/ICACT20260379 Slide.06
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