smpl.fit.R2

smpl.fit.R2(datax, datay, function, ff, **kwargs)[source]

R2 - Coefficient of determination

In the best case, the modeled values exactly match the observed values, which results in R2 = 1. A baseline model, which always predicts the mean of y, will have R2 = 0. Models that have worse predictions than this baseline will have a negative R2.