AI engineering glossary · Probability
What is exhaustive events?
Exhaustive events: A set of events that together cover the entire sample space, so at least one of them must happen on every run of the experiment. When they are also mutually exclusive, their probabilities add up to exactly 1.
Exhaustive events: an example
For an email classifier, 'spam' and 'not spam' are exhaustive: every email falls into one of them.
Related terms
More Probability terms
- Expected value
- Exponential distribution
- Factorial
- Frequentist probability
- Gambler's fallacy
- Geometric distribution
- Importance sampling
- Independence
Where you learn it
Exhaustive events is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.