Experiments on five datasets from the UCI repository show that, OLA outperforms the individual base learner and majority voting when base learners are not capable enough for the given task.
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结果表明,该方法优于多数投票法和单个分类算法,其对弱分类器组成的分类器集合尤其有效。
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