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殘差平方和 - 維基百科,自由嘅百科全書 跳去內容

殘差平方和

出自維基百科,自由嘅百科全書

殘差平方和residual sum of squares,「RSS」)喺統計學上係指將所有做預測嗰陣嘅殘差值(預測值同實際值嘅相差)嘅平方加埋得出嗰個數:

RSS 呢個數值喺機械學習上係普通最小二乘法演算法嘅重心。










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