Why does Light GBM model produce different results while testing?

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?

Topic lightgbm grid-search training gbm machine-learning

Category Data Science

1
answered at

It seems it currently has an issue with data leakage in the cross validation function: https://github.com/microsoft/LightGBM/issues/4319

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