Test Set

In the process of developing machine learning models, evaluating the performance of a model is a crucial step. Through evaluation, we can understand the model’s generalization ability, that is, its performance on unseen data. Cross-validation and test sets are two commonly used evaluation methods, each with its specific use cases and advantages. This article will … Read more