Model Evaluation

Loan Prediction Metrics | Built by Muzamal Asghar

Evaluation Icon View Metrics

About This Project 🌟

This project evaluates the loan eligibility model's performance using metrics like accuracy, precision, recall, and visualizes with confusion matrices and classification reports, for the HEX SOFTWARES Data Science Internship.

Model Evaluation Results 📊

Performance Metrics

Accuracy: 80.00%

Precision: 82.00%

Recall: 78.00%

Classification Report

              precision    recall  f1-score   support

           0       0.78      0.82      0.80       100
           1       0.82      0.78      0.80       100

    accuracy                           0.80       200
   macro avg       0.80      0.80      0.80       200
weighted avg       0.80      0.80      0.80       200
                

Interactive Confusion Matrix

Confusion Matrix Visualization

Confusion Matrix

Contact 📬