Stacking Software

Stacking software is a type of machine learning technique that combines multiple models to improve overall prediction accuracy. Instead of relying on a single model, stacking layers several models (like decision trees, neural networks, or others) and trains a new model to find the best way to combine their outputs. This approach leverages the strengths of different models and reduces individual weaknesses, resulting in more reliable and robust predictions. It's commonly used in data analysis and competitions to achieve higher performance than any single model alone.