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Understand logistic regression, a key statistical method for relationships with binary outcomes. Explore its formula, assumptions and practical applications.
I predict you'll find this logistic regression example with R to be helpful for gleaning useful information from common binary classification problems.
For the parameters of a multinomial logistic regression, it is shown how to obtain the bias-reducing penalized maximum likelihood estimator by using the equivalent Poisson log-linear model.
Direct multiclass generalizations based on multinomial likelihood are derived that exhibit performance comparable to other recently proposed multiclass generalizations of boosting in most situations, ...
It is possible to extend logistic regression to handle situations with three or more classes, but in my opinion, there are better approaches than using logistic regression for multinomial ...
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