Update README.md

README.md

@@ -14,24 +14,24 @@ Detects age group with about 58% accuracy based on an image.
 
 See https://www.kaggle.com/code/dima806/age-group-image-classification-vit for details.
 
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/gGIe3NGwSD8hkcOrqV8pM.png)
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/3d6CeafXnr2l0lAXzQlRk.png)
 
 ```
 Classification report:
 
               precision    recall  f1-score   support
 
-         0-2     0.8345    0.6444    0.7273       180
-         3-9     0.7698    0.8327    0.8000      1249
-       10-19     0.5395    0.3462    0.4218      1086
-       20-29     0.6201    0.7548    0.6809      3026
-       30-39     0.4790    0.4774    0.4782      2099
-       40-49     0.4826    0.4031    0.4393      1238
-       50-59     0.4899    0.5021    0.4959       725
-       60-69     0.4215    0.3846    0.4022       286
+         0-2     0.8065    0.6944    0.7463       180
+         3-9     0.7713    0.8207    0.7952      1249
+       10-19     0.5117    0.3619    0.4239      1086
+       20-29     0.6241    0.7356    0.6753      3026
+       30-39     0.4877    0.4917    0.4897      2099
+       40-49     0.4860    0.4063    0.4426      1238
+       50-59     0.5035    0.5021    0.5028       725
+       60-69     0.4593    0.4930    0.4755       286
 more than 70     0.0000    0.0000    0.0000       111
 
-    accuracy                         0.5791     10000
-   macro avg     0.5152    0.4828    0.4939     10000
-weighted avg     0.5653    0.5791    0.5671     10000
+    accuracy                         0.5809     10000
+   macro avg     0.5167    0.5006    0.5057     10000
+weighted avg     0.5674    0.5809    0.5708     10000
 ```