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瓦力 · 2025年06月29日

还是认为B也可能是过度拟合的结果

NO.PZ2022123001000163

问题如下:

Which of the following errors would most likely be a result of overfitting a machine learning model?

选项:

A.

Inability to recognize relationships within the training data

B.

A predictive model that treats true parameters as if they are noise

C.

The discovery of unsubstantiated patterns that lead to prediction errors

解释:

Overfitting a model can lead to the discovery of unsubstantiated patterns that lead to prediction errors and incorrect output forecasts.

A is incorrect. The inability to recognize relationships within the training data most likely results from underfitting the model.

B is incorrect. The development of a predictive model that treats true parameters as if they are noise is most likely a result of underfitting the model.

理解如果model太粗会出现B,但如果model过于细了,也会出现把正确的结果判断错的情况,比如将白天鹅判断为不是天鹅,为什么B一定错?

1 个答案

品职助教_七七 · 2025年06月29日

嗨,爱思考的PZer你好:


noise是偶尔出现的现象,true parameter是长期存在的规律。

如果是model过于细,则会将偶然的东西也处理成规律。这种情况下是会将noise也认为是true parameter。

而B选项是反过来,将true parameter当成noise忽略掉了。即忽略掉了真正重要和存在的长期规律。这是处理的太粗的表现,并不是过细。只可能是underfitting。


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