BIC means Bayesian Information Criterion.

Bayesian Information Criterion, also known as Bayesian Information Criterion (BIC). Bayesian decision theory is an important part of subjective Bayesian inductive theory. It uses subjective probability estimation for partially unknown states under incomplete information, then uses Bayesian formula to correct the probability of occurrence, and finally uses the expected value and corrected probability to make the optimal decision.

The basic idea is:

1. Known class conditional probability density parameter expression and prior probability.

2. Use Bayesian formula to convert into posterior probability.

3. Classify decisions based on posterior probabilities.