Frequentist (classical) probabilistic model
Frequentist models interpret probability as the long-term frequency of events in repeated trials. They estimate parameters directly from observed data without incorporating prior beliefs.
Everyday example: Flipping a coin 100 times and observing 55 heads leads to a 55% estimate for heads. Such methods rely on hypothesis testing and objective data analysis, as used in many scientific fields.
Logistic regression is a statistical model for binary classification. Despite its name, it is used for classification tasks rather than regression.
Example: Similar to how a doctor evaluates multiple symptoms to assess disease probability rather than giving a simple yes/no answer. It is widely used in credit scoring, spam detection, and medical diagnosis.