The Bayes Theorem Calculator helps determine the probability of an event A occurring given that event B has occurred, using Bayes’ Theorem. By inputting the probabilities of A, B, and B given A, the calculator applies the formula P(A∣B)=P(B∣A)⋅P(A)P(B)P(A|B) = \frac{P(B|A) \cdot P(A)}{P(B)}P(A∣B)=P(B)P(B∣A)⋅P(A)​ to compute the updated likelihood of A. This theorem is widely used in statistics, data science, and machine learning for making predictions and updating probabilities based on new evidence or information.