Update README.md

README.md

@@ -9,21 +9,18 @@ Predicts face emotion based on facial image.
 See https://www.kaggle.com/code/dima806/face-emotions-image-detection-vit for more details.
 
 ```
-Accuracy: 0.7538
-F1 Score: 0.7478
-
 Classification report:
 
               precision    recall  f1-score   support
 
-      Ahegao     0.9561    0.9727    0.9643       403
-       Angry     0.7631    0.6154    0.6813       403
-       Happy     0.9010    0.9279    0.9142       402
-     Neutral     0.5688    0.7593    0.6504       403
-         Sad     0.6087    0.4169    0.4948       403
-    Surprise     0.7379    0.8313    0.7818       403
+      Ahegao     0.9614    0.9876    0.9743       403
+       Angry     0.7440    0.6219    0.6775       402
+       Happy     0.9100    0.9280    0.9189       403
+     Neutral     0.5814    0.7618    0.6595       403
+         Sad     0.6350    0.4318    0.5140       403
+    Surprise     0.7577    0.8536    0.8028       403
 
-    accuracy                         0.7538      2417
-   macro avg     0.7559    0.7539    0.7478      2417
-weighted avg     0.7559    0.7538    0.7477      2417
+    accuracy                         0.7642      2417
+   macro avg     0.7649    0.7641    0.7578      2417
+weighted avg     0.7649    0.7642    0.7579      2417
 ```