I have just finished the Predicting Bike Rentals guided project and I would like to get your feedback.
I have used RMSE, R Square, and the difference between training error and validation error to figure out which algorithm predicts and fits better. I am not sure if my analysis and result are correct so I eagerly waiting for your feedback.
I said in my conclusion: “Among the above models Random Forest with min_samples_leaf = 6 and max_depth = 8 has shown the best result.” Do you agree?
I have used this forum post a lot and I highly appreciate it.
This is the link to my project.