splitting point in LightGBM?

I am not able to understand how the first root node is selected in LightGBM and how the splitting at nodes happens further. I read blogs and related documents and I understand that in this histogram-based splitting happens. But it is not clear after the bins are made what is the decision on the basis of which split happens. How is the best split decided? Please elaborate on this.

Topic gradient-boosting-decision-trees lightgbm machine-learning

Category Data Science

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