Predictive Probability

Predictive probability refers to the likelihood of a certain outcome based on a model's predictions. It is a crucial concept in statistics and machine learning, allowing practitioners to quantify uncertainty in predictions. This probability is derived from the model's parameters and the input data, often used in classification tasks to determine the most likely class for a given input. Common use cases include risk assessment, decision-making processes, and evaluating the performance of predictive models.