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过拟合
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过拟合
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统计学习
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overfitting
过拟合
在模型拟合数据的过程中,统计模型使用的参数过多,从而导致模型对观测数据过度拟合,以至于在训练数据上拟合表现较好,但是该模型预测能力通常较差的现象。
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overfitting
过拟合
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one-sided search
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one-stage grinding-classification circuit
One Step Away
one-step constructed dam
One Step Forward, Two Steps Back
one step growth
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ONET
one tailed test
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