Maximum Entropy Model

The Maximum Entropy Model is a statistical approach used to make predictions based on available information while being as unbiased as possible. It does this by selecting the probability distribution that has the highest entropy, meaning it spreads out uncertainty as much as allowed by the known data. Essentially, it avoids making assumptions beyond what the data supports. In practical terms, this model is useful in various fields like natural language processing and ecology, helping to understand factors influencing outcomes while maintaining a level of neutrality based on what is known.