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Diabetes Classification| Feature Importance #122

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Diabetes Classification| Feature Importance #122

wants to merge 3 commits into from

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Anuragsarkar12
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Description
Performed Feature Selection in diabetesclassification.ipynb

  • This PR does the following:
  • compared the chi-squared and f-statistic values for all the features in the dataset
  • used filter and wrapper methods for feature selection and generated two datasets
  • applied random forest classifier on both the datasets to compare model accuracy and confusion matrix

Checklist
Make sure to check off all the items before submitting. Mark with [x] if done.

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

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Great job, @Anuragsarkar12! 🎉 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

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