The `catboost.CatBoostClassifier.predict` function in Python is used to predict the target class or probability for a given set of input data using the CatBoost classifier algorithm. It takes the input data as an argument and returns the predicted results. This function utilizes a trained CatBoost model to make predictions on new, unseen data. The output can either be the predicted class label or the probability of each class, depending on the parameters specified during training.
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