Timeline for SMOTE-NC does not help to oversample my mixed continuous/categorical dataset
Current License: CC BY-SA 4.0
10 events
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| Nov 2, 2020 at 23:02 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Oct 3, 2020 at 15:07 | comment | added | jared3412341 |
First of all, one-hot encoding is generally not recommended for tree-based methods. I would use OrdinalEncoder from sklearn instead. Secondly, what is your class distribution (what is the % of each class in your data)? As @georg-un pointed out scaling weights can be helpful sometimes. What are you setting class_weights to?
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| S Oct 3, 2020 at 9:06 | history | suggested | sophros |
Adding relevant tags
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| Oct 3, 2020 at 8:30 | review | Suggested edits | |||
| S Oct 3, 2020 at 9:06 | |||||
| Sep 25, 2020 at 8:04 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| May 18, 2020 at 23:05 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Jan 16, 2020 at 13:00 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Sep 13, 2019 at 18:01 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Aug 10, 2019 at 8:49 | answer | added | georg.dev | timeline score: 1 | |
| Aug 9, 2019 at 23:43 | history | asked | Sarah | CC BY-SA 4.0 |