User seeks advice on encoding for multiclass classification with XGBoost

A user on Reddit's r/MachineLearning subreddit is seeking advice on how to encode categorical variables for a multiclass classification task using XGBoost. They have a dataset with mixed numerical and categorical features, and a target variable consisting of various disease names. The user is unsure whether to apply one-hot encoding to both the feature and target variables or use different encoding methods for each. AI

RANK_REASON This is a user question on a forum about a specific technical detail, not a significant industry event or release.

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• multiclass classification
• XGBoost

• other

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