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README.md

@@ -17,12 +17,13 @@ This model uses Transfer Learning for a 2 labelled class Cats-Dogs classificatio
 
 ## **Evaluation Results**
 
-### 📌 **Before Transfer Learning **
+### 📌 **Before Transfer Learning**
 
 ** Accuracy:** 40.66%
 - Precision: 0.3983, 
 - Recall: 0.4066, 
-- F1-score: 0.3942
+- F1-score: 0.3942,
+
 Confusion Matrix:
 [[ 659 1841]
  [1126 1374]]
@@ -33,21 +34,21 @@ Confusion Matrix:
 ** Train Accuracy:** 92.40% 
 - Precision: 0.9250,
 - Recall: 0.9240, 
-- F1-score: 0.9240
-Confusion Matrix:
-[[9486  514]
- [1006 8994]]
-
+- F1-score: 0.9240,
 
+Confusion Matrix:
+"[[9486  514]
+ [1006 8994]]"
 
 
 ** Validatio Accuracy:** 94.10%
 - Precision: 0.9425, 
 - Recall: 0.9410, 
-- F1-score: 0.9410
+- F1-score: 0.9410,
+
 Confusion Matrix:
-[[2425   75]
- [ 220 2280]]
+"[[2425   75]
+ [ 220 2280]]"
 
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