I have a big question here. Although I search over internet and also in research papers but couldn't find an answer to it.
I ran elastic net over a dataset that had close to 300 variables and a continuous outcome variable (say, Y). And below are the coefficients that are obtained from the best model after tuning hyper-parameters and using other options such as cross validation etc.
Variable coefficient Intercept 0.819100262 sale_1 0.064026411 sale_2 0.017481917 Tranx_1 -0.0080267 Qty_1 0.010714072 HS_1 -0.041269443 MSLY_1 -0.000621858 HS_2 -0.086004827
I masked the above variables for some reasons.
My question is can I write the final model as represented by the below equation:
Y = (0.819100262 * Intercept) + (0.064026411 * sale_1) + (0.017481917 * sale_2) + (-0.0080267 * Tranx_1) + (0.010714072 * Qty_1) + (-0.041269443 * HS_1) + (-0.000621858 * MSLY_1) + (-0.086004827 * HS_2)