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Why our #1 LightGBM feature by importance made predictions worse [D]

Via r/MachineLearning
Monday, Jun 1, 2026 · 6:20PM
Summary

We recently hit a classic gradient boosting trap with our pricing engine (Flyback), and I wanted to share the ablation data. We run LightGBM quantile regression to forecast secondary market watch prices. We engineered a variant-conditioned Bayesian target encoder to isolate within-reference pricing

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