在树上剪枝以降低分类错误率。

The tree would be pruned to reduce classification error and over-fitting.

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在很多应用中，组合使用多个分类器可以降低分类错误率。

In a wide range of applications, the combination of classifiers leads to substantial reduction of misclassification error.

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实验结果表明，训练集比例至少为50%时才能使分类错误率达到相对平稳。

Results show that proportion of train-set needs to be at least 50% for a comparatively stable error-rate.

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