diff --git a/README.md b/README.md
index 7ca3079..67be634 100644
--- a/README.md
+++ b/README.md
@@ -79,9 +79,17 @@ We are dealing with an exteremly imbalance dataset related to electrocardiogram
   model.fit(X_train, y_train)
   ```
 
+### STEP 4: Train different models to find the best possible approach 
+
+What we are looking for:
+Dangerous: Sick → predicted healthy : high recall score or low FN
+Costly: Healthy → predicted sick : high precision score or low FP
+
+
 
 ```
-✅ 1. Stratified K-fold only apply on train. Of each fold 
+next steps: 
+✅ 1. Stratified K-fold only apply on 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