XGBoost eta (learning_rate): The One Knob That Controls How Fast Your Model Learns — With a Real 5-Fold Benchmark
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XGBoost eta (learning_rate): The One Knob That Controls How Fast Your Model Learns — With a Real 5-Fold Benchmark Quick Answer (40–100 words): eta (alias learning_rate ) is XGBoost's shrinkage factor applied to every tree's contribution, default 0.3 . Smaller eta = smaller steps = more trees needed…
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- 2026-08-31 05:49 · DEV Community — Machine Learning
XGBoost eta (learning_rate): The One Knob That Controls How Fast Your Model Learns — With a Real 5-Fold Benchmark