Update README.md

README.md

@@ -44,7 +44,7 @@ it might be also biased toward certain names.
 <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
 To get better overall results, I decided to make a title truncation in training. Though it increased the overall result for both longer and
 shorter text, one should not give less than 6 and more than 12 words for predictions, excluding stopwords. For the preprocess operations look below.
-One can translate news from language into English, though it may not give the expected results. 
+One can translate news from the language into English, though it may not give the expected results. 
 
 ## How to Get Started with the Model
 
@@ -148,8 +148,26 @@ https://arxiv.org/pdf/1806.00749v1, the dataset download link: https://drive.goo
 Accuracy
 
 ### Results
+For testing on GonzaloA/fake_news test split dataset
+              precision    recall  f1-score   support
+
+           0       0.93      0.94      0.94      3782
+           1       0.95      0.94      0.95      4335
+
+    accuracy                           0.94      8117
+   macro avg       0.94      0.94      0.94      8117
+weighted avg       0.94      0.94      0.94      8117
+
+For testing on https://github.com/GeorgeMcIntire/fake_real_news_dataset
+              precision    recall  f1-score   support
+
+           0       0.81      0.87      0.84      2297
+           1       0.86      0.80      0.83      2297
+
+    accuracy                           0.83      4594
+   macro avg       0.83      0.83      0.83      4594
+weighted avg       0.83      0.83      0.83      4594
 
-[More Information Needed]
 
 #### Summary