In BDT model,the splitting and pruning is substituted by sampling,both are intuitive and flexible,and different tree structures and recursive partition schemes are considered so as to increase the accuracy rate of classification.
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BDT模型以抽样代替拆分与剪枝操作;既直观又灵活;同时在抽样时考虑了不同的树结构与递归分割方案;使得分类准确率得以提高.
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