What is overfitting? How to effectively avoid model failure caused by machine learning overfitting (with 5 practical countermeasures)
Overfitting is a core challenge in machine learning, referring to a model's excessive fit to training data, which reduces its predictive ability for new data. As AI becomes increasingly prevalent in industries such as healthcare, finance, and e-commerce, overfitting not only affects decision accuracy but can also pose significant risks. This….
