Using the Light GBM regressor, I have trained my data and, using Grid Search, I got the best parameters, but while testing with the best parameters I am getting different results each time, which means the model produces different results for each test iteration.
I ran the lightgbm twice with the same parameters, but got different results in validation. I found the only random seed parameter to be baggingSeed. After fixing baggingSeed, the problem also occurred. Should I fix any other parameters?