机器学习中的目标函数、损失函数、代价函数有什么区别？
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代价函数 代价函数是损失函数在整个训练集上的平均或总和，用于衡量模型在整个数据集上的表现。代价函数 = 所有样本的损失函数的平均值或总和。因此，代价函数通常是通过对每个样本的损失函数进行求和或求平均得到的。1. 回归问题中的代价函数
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