editing readme.md

README.md

@@ -1,6 +1,6 @@
 # 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 +78,11 @@ We are dealing with an exteremly imbalance dataset related to electrocardiogram
   
   model.fit(X_train, y_train)
   ```
+
+
+```
+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
+```