hand on machine learning with
generalization error 在測試集中的誤差叫做 generalization error (or out-ofsample error) 驗證集（P30） 需要驗證集的目的：不能在訓練100個模型找出最佳的參數。因爲你使模型和參數自動適應了。 怎麼使用？先用訓練集訓練帶有不同超參數的很多個模型，然後你挑一個在驗證集上表現最好的模型，選擇這個模型的參數，最後用測試集測試
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