Interval predictor model

An interval predictor model, often referred to in the context of statistical modeling and machine learning, is a type of predictive model that estimates a range of values (intervals) instead of a single point estimate. This approach is particularly useful when uncertainty in predictions is a significant factor, as it provides a more comprehensive understanding of potential outcomes. ### Key Features of Interval Predictor Models: 1. **Uncertainty Quantification**: These models highlight the uncertainty associated with predictions by providing a range (e.g.