Update README.md

README.md

@@ -40,8 +40,8 @@ the binay token classification task of predicting binding sites (and active site
 The model may need more training, however it still achieves better performance on the test set in terms of loss, accuracy, 
 precision, recall, F1 score, ROC_AUC, and Matthews Correlation Coefficient (MCC) compared to the models trained on the smaller 
 dataset [found here](https://huggingface.co/datasets/AmelieSchreiber/binding_sites_random_split_by_family) of ~209K protein sequences. Note, 
-this model has a high recall, meaning it is likely to detect binding sites, but it has a low precision, meaning the model will likely return 
-false positives as well. 
+this model has a high recall, meaning it is likely to detect binding sites, but it has a precision score that is somewhat lower than the SOTA 
+structural models mentioned above, meaning the model may return some false positives as well. 
 
 ## Training procedure