Stacking Trend 2026

Stacking involves layering multiple machine learning models to boost predictive accuracy. A meta-model learns from their combined outputs, reducing individual errors. It is widely used in data science competitions and enterprise analytics, benefiting researchers, financial analysts, and engineers seeking robust, high-performance solutions for complex classification or regression tasks.