Let X=1 = {Xi, X2, ---, Xi,k+p} be the feature space i=1 Let Y = {}=...

 

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Let X=1 = {Xi₁, X₁2, ---, Xi,k+p} be the feature space i=1 Let Y₁₁ = {₁}=₁ be the corresponded response. i=1 Fitted model: f(X₁), for i = 1, 2, 3, ..., N or ƒ(X). Sample size: N The residual sum of squares (RSS) of this model is = The mean squared errors (MSE) of this model is = The average squared errors (MSE) of this model is = Let X=1 = {Xi₁, X₁2, ---, Xi,k+p} be the feature space i=1 Let Y₁₁ = {₁}=₁ be the corresponded response. i=1 Fitted model: f(X₁), for i = 1, 2, 3, ..., N or ƒ(X). Sample size: N The residual sum of squares (RSS) of this model is = The mean squared errors (MSE) of this model is = The average squared errors (MSE) of this model is =