Timeline for How to make a decision tree with both continuous and categorical variables in the dataset?
Current License: CC BY-SA 4.0
4 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jun 8, 2018 at 8:32 | history | edited | Jakub Bartczuk | CC BY-SA 4.0 |
added 258 characters in body
|
| Jun 4, 2018 at 18:56 | comment | added | Jakub Bartczuk | I don't see how this changes the answer. You can just manually do one-hot or mean encoding. The gini coefficient doesn't depend on datatype, it only depends on grouping and target. | |
| Jun 4, 2018 at 18:54 | comment | added | Sahil Chaturvedi | I actually want to draw it using numerical calculations and not using scikit learn. I have edited the question. | |
| Jun 4, 2018 at 18:51 | history | answered | Jakub Bartczuk | CC BY-SA 4.0 |