请问怎么从这几个参数看出所拟合的曲线的好坏?。

General model Exp1:
f(x) = a*exp(b*x)
Coefficients (with 95% confidence bounds):
a = 46.66 (43.9, 49.42)
b = -29.89 (-33.28, -26.5)
Goodness of fit:
SSE: 15.54
R-square: 0.9927
Adjusted R-square: 0.9918
RMSE: 1.394

 Réponse acceptée

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SSE和RMSE越小越好
R-square和Adjusted R-square越接近1越好

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