Model Stratification Trend 2026

Model stratification splits a dataset into distinct subgroups based on shared characteristics before analysis. This technique improves predictive accuracy by capturing patterns within each group separately. Data scientists, machine learning engineers, and statisticians benefit most, as it reduces bias and enhances model performance in complex fields like healthcare, finance, and marketing.