What is the significance of training, validation, and test datasets?
Why is it crucial to differentiate between training, validation, and test datasets in machine learning? Each dataset serves a distinct purpose that impacts model performance and generalization. Neglecting this separation can lead to overfitting or underestimating a model's accuracy. Isn't it essential for robust AI development to understand these differences?
全部回答0最新熱門
暫無記錄