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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?

January 15, 2015/in Data science /by Przemyslaw Biecek

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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https://deepsense.ai/wp-content/uploads/2019/02/Is-a-simple-linear-regression-able-to-knock-spots-off-SVM-and-Random-Forest.jpg 337 1140 Przemyslaw Biecek https://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svg Przemyslaw Biecek2015-01-15 06:30:142021-01-05 16:54:50Is a simple linear regression able to knock spots off SVM and Random Forest?
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