Update README.md

README.md

@@ -186,23 +186,23 @@ Model Performance
 The baby Cry Classifier has undergone extensive testing to evaluate its effectiveness. Here's an overview of its performance:
 Accuracy Metrics:
 
-|      class  |   precision |   recall |  f1-score|
-|:-----------:|:-----------:|:--------:|:--------:|
-|          0  |    0.00     |   0.00   |  0.00    |    
-|          1  |    0.67     |   0.67   |  0.67    |    
-|          2  |    0.75     |   0.33   |  0.46    |   
-|          3  |    0.50     |   0.43   |  0.46    |    
-|          4  |    0.25     |   0.50   |  0.33    |    
-|   accuracy  |             |          |  0.38    |  
-|  macro avg  |    0.43     |   0.39   |  0.38    |  
-|weighted avg |     0.51    |   0.38   |  0.41    |       
+|      class |precision|recall|f1-score|
+|:----------:|:-------:|:----:|:------:|
+|          0 | 0.00    | 0.00 |  0.00  |    
+|          1 | 0.67    | 0.67 |  0.67  |    
+|          2 | 0.75    | 0.33 |  0.46  |   
+|          3 | 0.50    | 0.43 |  0.46  |    
+|          4 | 0.25    | 0.50 |  0.33  |    
+|   accuracy |         |      |  0.38  |  
+|  macro avg | 0.43    | 0.39 |  0.38  |  
+|weighted avg| 0.51    | 0.38 |  0.41  |       
 
 Overall Accuracy: 
 
--Accuracy: 0.38461538461538464
--Precision: 0.4333333333333333
--Recall: 0.38571428571428573
--F1 Score: 0.38461538461538464
+- Accuracy: 0.38461538461538464
+- Precision: 0.4333333333333333
+- Recall: 0.38571428571428573
+- F1 Score: 0.38461538461538464
 
 ### Integration