Sixth week of machine learning on Coursera
Sixth week of machine learning on Coursera @(Coursera) 模型選擇最佳方法是將數據集分爲訓練集、交叉驗證集和測試集，比例爲 6:2:2 。 模型選擇問題如下圖： 舉線性模型例子來說，提供了10個線性模型，最高項從 x1,...,x10 ,那麼該如何選擇誤差最小的模型呢？ 我們使用交叉驗證集來驗證各個模型的誤差，取損失函數最小的模型，比如是第四個模
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