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K -fold是比較常用的交叉驗證方法。做法是將資料隨機平均分成k個集合，然後將某一個集合當做「測試資料(Testing data)」，剩下的k ... ... <看更多>
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此外，2-cv 中一分為二的分子集方法的變異度大，往往無法達到「實驗過程必須可以被複製」的要求。) k-fold cross-validation. k折交叉驗證，初始採樣分割 ... ... <看更多>
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這需要 from sklearn import metrics ,通過在 cross_val_score 指定引數來設定評測標準； 當 cv 指定為 int 型別時，預設使用 KFold 或 StratifiedKFold ... ... <看更多>
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使用Python進行資料分析系列第29 篇 ... K-Fold Cross Validation is used to validate your model through generating different combinations of the data you ... ... <看更多>