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Wiredwisdom
Why MSE 본문
In MSE, we use the square of differences (hence "Square" in Mean Square Error).
This means that the number of classifications builds the dimensions of our space.
In this n-dimensional space, MSE measures the squared Euclidean distance between predicts vectors and label vectors.
This actually applies the Pythagorean theorem extended to n dimensions.
추론값의 벡터와, 정답 값의 벡터가 있다면
그 차이의 벡터를 유클리드 거리로 표현하는 것이 MSE가 된다.
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