I have generated a 1x100 prediction based on a set of observations. The prediction is in the form of a curve. I would like to quantify how well the prediction fits a seperate set of observations (different than the one I generated the predictions from). Here's a visual representation (two curves are shown):
What might be the best way to quantify the predictive accuracy of each model with respect to the observed data (black diamonds)?
x = Contrast is a 1 x 100 vector
y1 = Linear Summation is a 1x100 vector
y2 = Binocular data is a 4x1 vector