Timeline for How regression trees split, when all the Features and target have only continuous values
Current License: CC BY-SA 4.0
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| May 9, 2019 at 3:47 | comment | added | André.B |
(1) The root node and all subsequent child (or splitting) nodes are chosen on the basis of the algorithm you use. In the case of mean square error see this link: medium.freecodecamp.org/…. To fit a regression tree I would use the rpart R package. here is a tutorial on fitting them in R: statmethods.net/advstats/cart.html
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| May 8, 2019 at 5:25 | comment | added | Sim | Hi André.B. Thanks for the response.. Can you please give a detailed explanation, or an example, from which i can learn (1) how to choose the splitting node , what calculations are needed which help in choosing the root node (2) And then further procedure of splitting the nodes.. I all so confused in the derivations and theorems explaining this concept.. and still not able to create a Regression tree.. If you can guide me. | |
| May 8, 2019 at 3:46 | history | answered | André.B | CC BY-SA 4.0 |