Diabetes | feature- selection

SrijanShovit / HealthLearning

A repo comprising of various Machine Learning and Deep Learning projects in healthcare domain.

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Diabetes | feature- selection #125

Closed Anuragsarkar12 closed 2 weeks ago

Anuragsarkar12 commented 1 month ago

Description

Performed Feature Selection This PR does the following:

Compared the Chi-square values and f-statistic values for all features in different plots
Used f-statistic in SelectKBest and Recursive Feature Elimination with Cross Validation to create two new datasets
Applied Random Forest Classifier with hyperparameter tuning on both the datasets and compared the model accuracies

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

SrijanShovit commented 1 month ago

First do feature selection properly then jump into prediction.

Anuragsarkar12 commented 1 month ago

Could you provide me some suggestions as to what I should use further for feature selection

SrijanShovit commented 1 month ago

https://github.com/SrijanShovit/HealthLearning/blob/main/Metabolic%20Syndrome%20Prediction/metabolic_syndrome_predict.ipynb

Moreover, feature selection is not what I asked for in the issue. Feature Importance is different.

Anuragsarkar12 commented 1 month ago

Okay,I'll make the appropriate changes

SrijanShovit commented 4 weeks ago

any updates @Anuragsarkar12

Anuragsarkar12 commented 4 weeks ago

I am actually out of town so I am not able to work on it, I'll return tomorrow and will make the changes within a couple of days

github-actions[bot] commented 2 weeks ago

This issue has been automatically closed because it has been inactive for more than 7 days. If you believe this is still relevant, feel free to reopen it or create a new one. Thank you!