C5 refers to a decision tree and rule set generator used for data mining and machine learning. It builds models from data by iteratively splitting the data set into smaller subsets based on the most informative attribute at each step. It's often used for classification problems to predict the class or category of new data points based on patterns learned from historical data.
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