Metabolic Syndrome Prediction | 3. Statistical Tests for Feature Importance

[Arihant-Bhandari]

closes issue #52 Metabolic Syndrome Prediction | Statistical Tests for Feature Importance

Worked on Step 3:

• Principle Component Analysis (PCA)

• Chi-squared test

• ANOVA test

• Independent Component Analysis (ICA)

• Permutation-related tests : RFE and Model reliance method

• Information Gain Test

[SrijanShovit]

Ok will check in evening once I return from office

[SrijanShovit]

1. Plot graphs for Anova and Chi-squared
2. Put XGBoost for next issue i.e. ML Based Feature Importance (this issue is for statistical)
3. Explore Information Gain also for statistical

[Arihant-Bhandari]

Thanks for the suggestions, will update accordingly @SrijanShovit

[Arihant-Bhandari]

@SrijanShovit hi i have completed all the required tasks and edits, please review it, and if there are still changes to be done, i would be more than glad to do them; thank you for your time.

[SrijanShovit]

Now start working on ML based feature importance. I will create and assign issue later.

[Arihant-Bhandari]

@SrijanShovit cool i will start working on them 👍