Cascade framework

The Cascade framework is a tool used in machine learning that organizes the process of building, selecting, and tuning models. It acts like a step-by-step pipeline, helping data scientists efficiently test different algorithms, evaluate their performance, and refine them to produce the most accurate results. Think of it as a systematic recipe that ensures all the steps—from data preparation to model optimization—are carried out logically and efficiently, leading to better decision-making and predictive power in complex data tasks.