Post-Training Analysis (postreg)

Hi,
Good Day!
May I know hows the calculation of the code below:
[m,b,r] = postreg(evu(r,:),ev);
I am now have a data set with 90(sample)x14(dimensions), can I know the calculation to get the value of m, b and r?
Thanks.

 采纳的回答

Chenguang Zhang
Chenguang Zhang 2019-3-5

2 个投票

m表示实际值和预测值的拟合系数,越靠近1,表明二者越接近。
b表示实际值和预测值的拟合截距,越靠近0 ,表明效果越好。
r表示实际值和预测值的相关系数。

2 个评论

With no disrespect intended, I've attached the efforts of Google Translate to help others who might read this answer:
m represents the fit coefficient of the actual value and the predicted value, and the closer to 1, the closer the two are.
b represents the fit intercept of the actual value and the predicted value. The closer to 0, the better the effect.
r represents the correlation coefficient between the actual value and the predicted value.

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