Add project risk classification experiment files

[MohannadAshraf14]

Added ML experiment notebook, saved best model, and test data.
Selected best model based on f1-score.

[github-actions]

🧪 Model Evaluation Results

✅ Tests executed successfully!

Metrics:

ERROR: Test data not found at data/test/test_data.csv

📊 Confusion matrix plots have been uploaded as workflow artifacts.

[github-actions]

🧪 Model Evaluation Results

✅ Tests executed successfully!

Metrics:

Logistic Regression model loaded successfully.
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Prediction completed successfully.
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Evaluation Results
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Accuracy: 0.6916666666666667
F1 Score (Weighted): 0.6926247337110605

Classification Report:

              precision    recall  f1-score   support

           1       0.82      0.76      0.79       144
           2       0.64      0.71      0.67       202
           3       0.58      0.55      0.57       137
           4       0.78      0.74      0.76       117

    accuracy                           0.69       600
   macro avg       0.70      0.69      0.70       600
weighted avg       0.70      0.69      0.69       600

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Metrics saved to metrics.json

📊 Confusion matrix plots have been uploaded as workflow artifacts.