From the course: Machine Learning and AI Foundations: Classification Modeling

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Logistic regression

Logistic regression

From the course: Machine Learning and AI Foundations: Classification Modeling

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Logistic regression

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- Okay, let's talk about logistic regression. You're gonna notice some similarities in look and feel from logistic regression and discriminate analysis, particularly at the level of detail, but once we get to the other algorithms, you're gonna notice a striking difference between logistic and discriminate on the one hand, and all of the others, because these are really the two that come from the statistics tradition. First, note that like many of the algorithms, virtually all, in fact, logistic operates by listwise deletion, meaning that if any data's missing, that row is eliminated. All inputs are used unless you choose to do stepwise logistic. So, like discriminate, we have a stepwise option. Have to use scale variables. In practice, however, when epidemiologists, health researchers, use logistic regression, they tend to have mostly categorical variables, so we can employ dummy coding, and dummy coding is very common in logistic regression models. Logistic is arguably the most…

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