Machine learningMachine learning
主动学习决策树
主动学习与决策树结合，将 CART 风格决策树的可解释结构与查询策略相结合，该策略选择信息量最大的未标记实例进行人工标注。该模型通过迭代地仅请求模型最不确定的样本的标签，从而在最小化标注成本的同时最大化表格数据的分类准确性。
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来源
- Settles, B. (2010). Active Learning Literature Survey. Computer Sciences Technical Report 1648, University of Wisconsin-Madison. link ↗
- Breiman, L., Friedman, J., Olshen, R., & Stone, C. (1984). Classification and Regression Trees. Wadsworth & Brooks. ISBN: 978-0-412-04841-8
如何引用本页
ScholarGate. (2026, June 3). Active Learning with Decision Tree Classifier. ScholarGate. https://scholargate.app/zh/machine-learning/active-learning-decision-tree
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