How to find the model works better from the RMSE and CV score? I have included all the model in bigmart sales problem but can’t understand the technique.
To compare the performance of models, you can check the rmse value or the cv score. Fit a model, let’s say random forest, and calculate the rmse. Next, fit another model, suppose xgboost, and calculate the rmse again.
The model that gives a lesser rmse, is better.
Same for cv score just check increase for better fit.