MAD and MSE

MAD

MAD averages absolute miss sizes.

highlighted = computed this step

Mean Absolute Error

MAD averages the absolute errors.

MAD=average absolute error\text{MAD}=\text{average absolute error}
Summary metricsThe table shows signed sum, MAD, MSE, and MAPE.summary metricsvaluesum error0MAD3/2MSE3MAPE7/48

MAD Value

The exact MAD is 3/2.

MAD=3/2\text{MAD}=3/2
Summary metricsThe table shows signed sum, MAD, MSE, and MAPE.summary metricsvaluesum error0MAD3/2MSE3MAPE7/48