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A machine learning engineer is translating a decision tree from sklearn to Spark ML. During the training process, an error occurs stating that the maxBins parameter should be at least equal to the number of values in each categorical feature. What is the reason behind Spark ML requiring the maxBins parameter to be at least as large as the number of values in each categorical feature? Choose only ONE best answer.