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Closes:

Describe the add-ons or changes you've made 📃

I have implemented the following enhancements to the project:

  1. Imported and structured the necessary libraries for data analysis, visualization, and model implementation.
  2. Loaded and preprocessed the dataset by target values more interpretable and user-friendly to address the imbalance in the dataset
  3. Implemented feature engineering and selection to extract meaningful features and prepare data for modeling.
  4. Defined and trained on MultiLayer Perceptron Algorithm (MLP), Random Forest Classifier, Gradient Boosting Classifier.
  5. Evaluated the models using key metrics: Model vs Accuracy, ROC Curve and AUC, Classification Report Heatmap
  6. Added visualization of evaluation metrics for each trained model.
  7. Structured conclusions and observations for improved documentation of findings.

Checklist: ☑️

  • My code follows the Contributing Guidelines & Code of Conduct of this project.
  • This PR does not contain plagiarized content.
  • I have performed a self-review of my own code.
  • I have commented my code, particularly wherever it was hard to understand.
  • My changes generate no new warnings.

Screenshots 📷

Screenshot 2025-01-14 092147

Evaluation Metrics
Screenshot 2025-01-14 091155
Screenshot 2025-01-14 091221
Screenshot 2025-01-14 091239

Screenshot 2025-01-14 092314

Happy Coding 🎉

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Thank you for submitting your pull request! We'll review it as soon as possible. For further communication, join our discord server https://discord.gg/tSqtvHUJzE.

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@Avdhesh-Varshney Avdhesh-Varshney left a comment

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Looks Good!

@Avdhesh-Varshney Avdhesh-Varshney linked an issue Jan 14, 2025 that may be closed by this pull request
@SupratikB23
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@11PRIMUS , please review my PR

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@11PRIMUS 11PRIMUS left a comment

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Screenshot 2025-01-15 214705
good work @SupratikB23

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