Sigmoid distribution

The sigmoid distribution describes a probability pattern that smoothly transitions from low to high values, forming an "S" shaped curve. It models situations where outcomes gradually shift from unlikely to likely, such as the probability of success increasing as conditions improve. This pattern is common in fields like statistics, machine learning, and biology, especially when predicting probabilities that change steadily rather than abruptly. The key feature is its continuous, sigmoid-shaped curve that captures the gradual change between different states or outcomes.