Update README.md

README.md

@@ -40,7 +40,7 @@ The data preprocessing steps applied include the following:
 - Transforming and Encoding categorical features namely: Sender Country, Beneficiary Country, Transaction Type, and the target variable, Label
 - Applying feature scaling on all features
 - Splitting the dataset into training/test set using 85/15 split ratio
-- Handling imbalanced dataset using imblearn framework and applying RandomUnderSampler method to eliminate noise
+- Handling imbalanced dataset using imblearn framework and applying RandomUnderSampler method to eliminate noise which led to a 2.5% improvement in accuracy
 
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6662300a0ad8c45a1ce59190/BEi0CfOfJ2ytxD5VoN4IM.png)