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回归问题中的精确度和准确性如何? [闭门]
原标题:What are equivalent of Precision and Accuracy in Regression problems? [closed]

i 采用多层老板神经网络解决了倒退问题。 我听到了MSE、RMASE、MAE和R^2公吨的情况。 i 确切了解分类问题中哪些衡量标准等于或类似于精确度? 换言之,回归问题中的精确度和准确性如何?

问题回答

我认为,分类准确性和精确性在倒退问题上与任何职能都难以确定:这些措施的漏洞在于确定模型在预测你的数据集方面是否好,因此无法从预测本身实际计算数据。

好的方面是,在倒退问题上,你不需要,你实际上可以衡量你模式与你掌握的所有数据之间的距离。

这样做有若干算法,根据你的问题,有些算法优于其他算法。 另外,在你的测试/验证部分培训中,你应当对模式有某种准确性。





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