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Confident instances lead to better decision-making in classification algorithms!

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C_CART: An instance confidence-based decision tree algorithm for classification
Shuang Yu, Xiongfei Li, Han‐Cheng Wang, Xiaoli Zhang, Shiping Chen

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The C_CART algorithm improves decision tree classification by considering the confidence level of each data point. By treating high-confidence points differently, C_CART enhances accuracy and prevents overfitting.