The `score` method in the `CatBoostClassifier` class of the CatBoost library in Python is used to evaluate the performance of the trained model on the given test data. It calculates the accuracy of the model's predictions by comparing them with the actual labels of the test data. The score is a decimal value between 0 and 1, where a higher score indicates better performance of the model in terms of accurate predictions.
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