Binomial Distribution

A binomial distribution applies when an experiment is repeated a fixed number of times under the same conditions. Each trial has two outcomes, commonly described as success or failure, and the probability of success remains constant. The distribution calculates the probability of achieving a specific number of successes across those trials.

Binomial distributions help quantify uncertainty in situations involving repeated binary outcomes. In machine learning and statistics, they provide a foundation for analyzing classification results, estimating probabilities, and modeling events where outcomes can be represented using two categories.