Update README.md

README.md

@@ -18,8 +18,27 @@ This is a fine-tuned **`ResNet-18`** model designed for a 7-class classification
 ---
 
 ## 📈 Evaluation Metrics on Test Data 
-![Confusion Matrix](Test Accuracy 80.31%.png)
-
+![confusion matrix](images/confusion_matrix.png)
+
+Accuracy: 79.92%
+Precision: 79.80%
+Recall: 79.92%
+F1-Score: 79.80%
+
+Classification Report:
+              precision    recall  f1-score   support
+
+           1       0.79      0.81      0.80       329
+           2       0.58      0.47      0.52        74
+           3       0.51      0.42      0.46       160
+           4       0.92      0.90      0.91      1185
+           5       0.74      0.78      0.76       478
+           6       0.68      0.72      0.70       162
+           7       0.75      0.78      0.77       680
+
+    accuracy                           0.80      3068
+   macro avg       0.71      0.70      0.70      3068
+weighted avg       0.80      0.80      0.80      3068
 
 ## 🧑‍💻 How to Use