editing readme.md

README.md

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 # Electrocardiogram
 
-We are dealing with an exteremly imbalance dataset related to electrocardiogram signals that contain binary class labels as good and bad signals. 
+We are dealing with an exteremly imbalance dataset related to electrocardiogram signals that contain binary classes and labeled as good(0) and bad(1) signals. 
 
 ### STEP 1: Fill missing values
 
@@ -78,3 +78,12 @@ We are dealing with an exteremly imbalance dataset related to electrocardiogram
   
   model.fit(X_train, y_train)
   ```
+
+
+```
+✅ 1. Stratified K-fold only apply on train. Of each fold 
+🗹 2. train LGBM model using KMEANS_SMOTE with k_neighbors=10
+🗹 3. train Cat_boost using KMEANS_SMOTE with k_neighbors=10
+🗹 4. implement proposed methods of this article : https://1drv.ms/b/c/ab2a38fe5c318317/IQBEDsSFcYj6R6AMtOnh0X6DAZUlFqAYq19WT8nTeXomFwg
+🗹 5. compare proposed model with SMOTE vs oversampling balancing method
+```