Confusion Matrix
Artificial Intelligence
The probability of an event occurring given that another event has already occurred.
Detailed Explanation
Conditional probability measures the likelihood of an event happening based on the knowledge that another event has occurred. It's calculated by dividing the probability of both events occurring by the probability of the given event. This concept is essential in AI for updating predictions and making decisions based on new information, especially in models like Bayesian networks.
Use Cases
- •Use case: Updating spam detection accuracy as new emails are labeled, refining likelihood estimates based on prior message features.
Related Terms
Other terms in the Artificial Intelligence category