I Pitted XGBoost Against Logistic Regression on 358 Matches. The Boring Model Won.
中文摘要
AI模型XGBoost在358场比赛中输给简单的逻辑回归，说明了模型选择的重要性。
English Summary
XGBoost lost to simple logistic regression in 358 matches, highlighting the importance of model selection.
Original Excerpt
A concrete bias–variance lesson: why the smallest model had the best cross-validated fit, and how to know when to reach for the big hammer. The post I Pitted XGBoost Against Logistic Regression on 358 Matches. The Boring Model Won. appeared first on Towards Data Science.