My last submission is scored 1.201674080 but at the leaderboard, I'm scored the 163th with 11.93195645. So why my last submission, witch is the best is not used?
Is your local RMSE your validation eval metric? If yes, then you need see if there exists any feature engineering or feature selection done by you, such that it solves for the noise in the dataset. I would suggest examining your features more closely.
Please do check up whether there are problems with the leaderboard metrics.
I am also facing the same issues where my local RSME is quite good say at 9.6 but still scores poorly on the leaderboard at say 10.45
You did not do cross validation on your model.
Is your local RMSE your validation eval metric? If yes, then you need see if there exists any feature engineering or feature selection done by you, such that it solves for the noise in the dataset. I would suggest examining your features more closely.