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It's common practice to do feature analysis when building tabular classification models using methods like SHAP, to debug modelling issues, help explain model outputs to business stakeholders, etc.
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### Is your feature request related to a problem? Please describe.
The attested TLS mechanism should be upgraded to include custom TLS extension. The content of the extension should be the attestatio…
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Are you open to expanding the functionality of GBRT to return feature importances for each class in a multinomial model, rather than just the sum importances over the entire model? E.g.,
```
def m…
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The feature importance in the context of the skorecard model is the feature IV*coef of the logistic regression.
Let's make this calculation within the skorercard class
In terms of code, it's simil…
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Hi,
Thanks a lot for this package!
On question : Is there any way to get the final feature importance scores directly in a dataframe without creating the csv file (with Feature_Selector.results_to_c…
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I would like to understand, how to map my features with their importances after the following pipeline (I got 3 features more after the training). Below is my pipeline:
StandardScaler(),
StackingE…
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## Dataset1_math_DT_Untuned
![dataset1_math_mse_dt_untuned](https://user-images.githubusercontent.com/3458568/37301619-74a57c00-25ff-11e8-860c-71c2f060a094.png)
## Dataset1_math_DT_Tuned
![datase…
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Dear authors,
I know that for a single observation, the Shap values for features are additive. Namely, they add up to the difference between the focal prediction and the expected prediction.
The…
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Using Random Forest or Mutual Information for feature importance/variance analysis
file to use: `chemistry_combined_PCA.csv`
location: https://github.com/COMPASS-DOE/cmps-soil_characterization/blo…
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## Summary
## Todo
## Importance
## Reference