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Machine Learning
LightGBM
A fast gradient-boosting framework designed for large structured datasets.
LightGBM improves training efficiency through histogram-based feature grouping and leaf-wise tree growth. Instead of expanding every level evenly, it grows the leaf that offers the greatest reduction in loss.
This often makes it faster and more memory-efficient on large datasets. Leaf-wise growth can also overfit smaller datasets, so limits on tree depth and leaf count are important.
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