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The following tasks were completed for this issue -
- Read about rotation forest models. Refered the papers
- https://arxiv.org/abs/1809.06705
- https://www.researchgate.net/publication/6…
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Currently, we only have SelectFromModel. It would be nice to support some feature selectors (ex: SelectKBest, SelectPercentile) that don't rely on an estimator and instead simply select features using…
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```
Hello,
first of all, thank you very much for this code, I've been using it more and
more for various research projects and will hopefully soon be able to cite it
in a paper!
I was wondering if…
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```
Hello,
first of all, thank you very much for this code, I've been using it more and
more for various research projects and will hopefully soon be able to cite it
in a paper!
I was wondering if…
-
```
Hello,
first of all, thank you very much for this code, I've been using it more and
more for various research projects and will hopefully soon be able to cite it
in a paper!
I was wondering if…
-
Hello
I'm trying to understand the code. And... I have questions about model evaluation parts...
About evaluating RF classifier with the training data...
As I understand, the Random Forest cl…
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### Description
The sklearn's example on comparing the different classifier accuracies does not have multiple settings for testing various scenarios.
There is no concrete example showing when some …
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I've recently been looking into adding Random Forest to linfa. Since Ensemble Learning is on the roadmap anyway I think the best way to do this would be to add Bootstrap Aggregation for any classifier…
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Created by Alya Gomaa via monday.com integration. 🎉
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I found that the tests for onnx decision tree where fetching the wrong outputs. In fact, the name on the label variable is actually `output_label`. Once this is fixed, the test `test_random_forest_cla…