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Loss function

Loss function



Loss function is Quantity helps to find loss of our model when ever it is greater models perform poor else model perform good.
Today we learnt about Loss function in regression in other class we discus Loss function in classification

There are Several Loss function in regression
  1. MSE(Mean Squared Error)
  2. MAE(Mean Absolute Error)
  3. RMSE(Root Mean Squared Error)
  4. R2 Score

MSE

MSE formula --> 𝛴 (yi-p)2

Note - MSE is effected by outlier

MAE

MAE formula --> Σ |yi-p|

RMSE

RMSE formula --> √Σ(yi-p)2

R2 Score

R2 Score formula --> 1-RSS/TSS

RSS=Sum of Square of Residual
TSS=Total Sum of Square

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