26. Which of the following situations describes the machine learning model that matches too closely
to the training data, performing excellently on the training data but poorly on new samples?
(A) Max Pooling
(B) Random Forest
(C) Generative Adversarial Network
(D) Mean Square Error
(E) Overfitting
詳解 (共 1 筆)
未解鎖
描述機器學習模型過於緊密地匹配訓練數據,...