Is a simple linear regression able to knock spots off SVM and Random Forest?

Is a simple linear regression able to knock spots off SVM and Random Forest?

A friend of mine took part in a project in which he had to perform future prediction of Y characteristic. The problem was that Y characteristic showed an increasing trend over time. For the purposes of this post let us assume that Y characteristic was energy demand or milk yield of cows or any other characteristic that with positive trend over time.

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