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Added feature Importance #172

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Divyanshi1002
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@Divyanshi1002 Divyanshi1002 commented Jun 11, 2024

Description

Added the following method to detect feature importance:
1)Random Forest Feature Importance: used a Random Forest model to calculate feature importance.
2)ANOVA for Feature Importance: performed ANOVA to detect the importance of features based on their relationship with the target variable.
3)Comparison with Gradient Boosting: compared Random Forest with Gradient Boosting

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Changes

Added a file with updated feature importance and analysis.

Checklist

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  • I have performed a self-review of my code
  • I have commented my code, particularly in hard-to-understand areas
  • My changes generate no new warnings
  • I am working on this issue under GSSOC

Random Forest Feature Importance:  used a Random Forest model to calculate feature importance.

ANOVA for Feature Importance: performed ANOVA to detect the importance of features based on their relationship with the target variable.

Comparison with Gradient Boosting: compared Random Forest with Gradient Boosting
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Great job, @Divyanshi1002! 🎉 Thank you for submitting your pull request. Your contribution is valuable and we appreciate your efforts to improve our project.

We will promptly review your changes and offer feedback. Keep up the excellent work! Kindly remember to check our contributing guidelines

@github-actions github-actions bot closed this Jun 20, 2024
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Maternal Health Risk Prediction | Feature Importance
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