While working on the BIG Mart Sales problem , I am facing issues when predicting the sales using linear regression, Adjusted R square : 56.21, Residual standard error : 1129, the model statistic is as per below (only significant variables).
Intercept : - 1869
Item_MRP : 15.6
Item_Fat_content (Regular) : 52.7
Outlet_type(Supermarket 1): 1955
Outlet_type(Supermarket 2): 1626
Outlet_type(Supermarket 3): 3355
Visibility Category (Low) : 54.3
Since the intercept is negative some of the predicted sales value is coming as -ve, as a result of which the MAPE is coming as 1.
Can anyone of you please suggest how should I proceed in this situation.