Detecting and reducing overfitting
Improving model generalization
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My [MODEL_TYPE] achieves [TRAIN_SCORE] on the training set and [VAL_SCORE] on the validation set, indicating overfitting. The features used are [FEATURE_LIST]. Propose 5 concrete techniques to reduce overfitting, including Python code, parameters to adjust, and expected impact for each.
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Pensez à préciser le volume de données et l’architecture exacte (ex. « 10k échantillons, RandomForest max_depth=18 ») : sans ce contexte, les 5 techniques resteront génériques. Ajoutez aussi une contrainte opérationnelle (latence, interprétabilité) pour que les solutions soient réellement applicables.
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