Update README.md

README.md

@@ -12,17 +12,6 @@ tags:
 
 # **Image-Deep-Fake-Detector**
 
-```
-Classification report:
-
-              precision    recall  f1-score   support
-
-        Real     0.9933    0.9937    0.9935      4761
-        Fake     0.9937    0.9933    0.9935      4760
-
-    accuracy                         0.9935      9521
-   macro avg     0.9935    0.9935    0.9935      9521
-weighted avg     0.9935    0.9935    0.9935      9521
 ```
 
 The **precision score** is a key metric to evaluate the performance of a deep fake detector. Precision is defined as:
@@ -33,14 +22,7 @@ The **precision score** is a key metric to evaluate the performance of a deep fa
 
 It indicates how well the model avoids false positives, which in the context of a deep fake detector means it measures how often the "Fake" label is correctly identified without mistakenly classifying real content as fake.
 
-From the **classification report**, the precision values are:
-
-- **Real:** 0.9933
-- **Fake:** 0.9937
-- **Macro average:** 0.9935
-- **Weighted average:** 0.9935
-
-### Demo Inference:
+# Demo Inference:
 
 ![Screenshot 2025-01-27 at 19-54-50 prithivMLmods_Deep-Fake-Detector-Model · HF中国镜像站.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/oWLVwLcXAP19uvCd8iqZQ.png)