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observation belongs to class 0 or class 1 in binary classification. However, a more nuanced approach involves predicting the probability of an observation belonging to each class. For instance, if a model assigns a probability of 0.85 (85%) to class 1 and 0.15 (15%) to class 2, it offers a clearer