Add Classification Report Endpoint #140

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💡 Problem Description

Hi @Deepika14145
Currently, model evaluation metrics like precision, recall, F1-score, and accuracy are not available in a unified format.
This makes it harder for users or contributors to get a complete understanding of how each model performs across different metrics.

✅ Proposed Solution

Add a new /api/classification_report route in app.py that returns a structured JSON response containing precision, recall, F1-score, and accuracy and other relevant evaluation metrics (e.g., macro averages, weighted averages, support) for all models. This feature will unify all evaluation metrics into one consolidated classification report, giving users a clear, comprehensive view of overall model performance and reliability.

Expected Outcome:
JSON output summarizing per-model metrics.
Optional future enhancement: visualization in the dashboard (bar chart or table view).

Can I please be assigned to this issue?

🔄 Alternatives Considered

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