Comparing MAE vs. MSE
MAE = Σ|y - ŷ| | MSE = Σ(y - ŷ)²
True Value (y)
75
Predicted Value (ŷ)
50
Error
25
(y - ŷ)
Absolute Error
25
|y - ŷ|
Squared Error
625
(y - ŷ)²
Mean Absolute Error (MAE)
Mean Squared Error (MSE)
0
25
50
75
100
y
ŷ
Perfect Prediction
Small Error (10)
Medium Error (25)
Large Error (50)
Comparing the Penalties