Binary outcomes refer to situations where there are only two possible states or results, often labeled as 'success' and 'failure' or 'yes' and 'no'. These outcomes are fundamental in statistical analyses, particularly in logistic regression and classification tasks, where they help model and predict categorical data with two distinct classes.