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ML Week 7 (Oct 26+28): Model Evaluation & Ensembles episode artwork

Oct 25, 2026 23 min

ML Week 7 (Oct 26+28): Model Evaluation & Ensembles

from The Reading Room

Deep dive into model evaluation and ensemble methods: how to measure and improve models, and how bagging, random forests, boosting, and Bayesian additive regression trees combine weak learners into stronger ones. Sources: Week 7 (Oct 26-28) – ISLP Ch 8.2: Bagging, Random Forests, Boosting, BART Week 7 (Oct 26-28) – Muller & Guido Ch 5: Model Evaluation and Improvement

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ML Week 7 (Oct 26+28): Model Evaluation & Ensembles

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