Do predictions when I
I have applied a pretty sucky model using linear regression and cross-validation, but still need to understand this. My prediction for example was 1000.
root_mean_squared_error: 952.712 +/- 111.892
absolute_error: 645.593 +/- 34.608 (micro average: 645.593 +/- 708.616)Do I have to adjust my predictions or do the models predictions already include an average error?