Update README.md

README.md

@@ -56,7 +56,9 @@ The dataset is composed of `.pt` files to be loaded into PyTorch Geometric. Acco
 
 ### Curation Rationale
 
-Existing graph-based classifiers achieve high accuracy on standard benchmarks (like MalNet-Tiny) but suffer performance drops of up to 45% on unseen families. These benchmarks were created to rigorously evaluate and improve the generalization capabilities of malware detectors in realistic, evolving threat environments.
+Existing graph-based classifiers achieve high accuracy on standard benchmarks (like MalNet-Tiny) but suffer noticeable performance drops on
+unseen families. These benchmarks were created to rigorously evaluate and improve the generalization capabilities of malware detectors in
+realistic, evolving threat environments.
 
 ### Source Data