Training and Evaluation Outline

A Training and Evaluation Outline is a plan used in machine learning to guide how a model learns and is assessed. It details the training process, including the data used and the methods for teaching the model to recognize patterns, as well as evaluation criteria to measure its accuracy and performance. This outline helps ensure the model is trained effectively and its results are reliable, enabling continuous improvement. Essentially, it’s a roadmap for teaching the model and checking how well it learns.