Encoding Categorical Variables
Categorical feature preparation
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I have categorical variables in my dataset: [VARIABLE_LIST] with respectively [CARDINALITIES] categories. My target model is [MODEL_TYPE]. Recommend the best encoding strategy for each variable (one-hot, label encoding, target encoding, etc.) and explain your reasoning.
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Pour éviter le surapprentissage, précise que le target encoding doit être calculé par validation croisée (fold par fold) et jamais sur tout le dataset. Ajoute aussi une règle pour les modalités rares : seuil de fréquence ou regroupement en catégorie « other ». Ainsi la recommandation sera plus robuste en pratique.
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