Predictive modeling is a statistical method that forecasts future outcomes using historical data. It builds mathematical models that process key input variables to generate predicted results.

By applying machine learning algorithms, these models can be trained and refined over time, enabling more accurate decision-making. Widely used across industries, predictive modeling supports applications such as fraud detection, customer segmentation, disease diagnosis, and stock market forecasting.