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.
https://deepsense.ai/wp-content/uploads/2019/02/Is-a-simple-linear-regression-able-to-knock-spots-off-SVM-and-Random-Forest.jpg3371140Przemyslaw Biecekhttps://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svgPrzemyslaw Biecek2015-01-15 06:30:142019-07-09 08:28:08Is 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?
/in Blog posts, Data science /by Przemyslaw BiecekA 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.