오차의 제곱의 평균이란

오차 제곱의 평균의 정의는 다음 자료에서 참고하였다. 

Mean Squared Error (MSE) - Statistics By Jim

 

Mean squared error (MSE) measures the amount of error in statistical models. It assesses the average squared difference between the observed and predicted values. When a model has no error, the MSE equals zero. As model error increases, its value increases. The mean squared error is also known as the mean squared deviation (MSD).