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relevantmeemayhere t1_j9kifhu wrote

Linear models are often preferred for the reasons you mentioned. Under fitting is almost always preferred to overfitting.

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VirtualHat t1_j9ll5i2 wrote

Yes, that's right. For many problems, a linear model is just what you want. I guess what I'm saying is that the dividing line between when a linear model is appropriate vs when you want a more expressive model is often related to how much data you have.

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