Cost function in Multiple Linear Regression(i.e when we have multiple features))

When we have more than one input feature, how do you compute the cost function? (Read the question very clearly so that you could clearly understand what I meant).

Hello @Paila_Dileep_Sai,

Let’s say you have only one sample, and -

  1. when you have one feature, you calculate it by J = \frac{1}{2}(w_1x_1 + b - y)^2
  2. when you have two features, J = \frac{1}{2}(w_1x_1 + w_2x_2 + b - y)^2
  3. when you have n features, J = \frac{1}{2}(w_1x_1 + w_2x_2 + ... +w_nx_n + b - y)^2


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