statsmodels.nonparametric.kernel_regression.KernelCensoredReg.r_squared¶

KernelCensoredReg.r_squared()

Returns the R-Squared for the nonparametric regression.

Notes

For more details see p.45 in [2] The R-Squared is calculated by:

$R^{2}=\frac{\left[\sum_{i=1}^{n} (Y_{i}-\bar{y})(\hat{Y_{i}}-\bar{y}\right]^{2}}{\sum_{i=1}^{n} (Y_{i}-\bar{y})^{2}\sum_{i=1}^{n}(\hat{Y_{i}}-\bar{y})^{2}},$

where $$\hat{Y_{i}}$$ is the mean calculated in fit at the exog points.