The multinomial distribution answers a fundamental question: if you run n independent trials where each trial can result in one of k possible outcomes, what’s the probability of observing a specific…
Read more →The binomial distribution answers a simple question: how many successes in n trials? The multinomial distribution generalizes this to k possible outcomes instead of just two. Every time you roll a…
Read more →Multinomial logistic regression is the natural extension of binary logistic regression for classification problems with three or more mutually exclusive classes. While binary logistic regression…
Read more →Multinomial Naive Bayes (MNB) is a probabilistic classifier based on Bayes’ theorem with the ’naive’ assumption that features are conditionally independent given the class label. Despite this…
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