Update my_pages/rashomon_developer.py

my_pages/rashomon_developer.py

@@ -12,14 +12,14 @@ def render():
 
     add_instruction_text(
         """
-        Consider the following data about individuals who did (green) or didn't (red) repay their loans. <br>
+        Consider the same data about individuals who did (green) or didn't (red) repay their loans. <br>
         Make development choices now that will lead to the same variety of models as before.
         """
     )
 
     #### Choosing regularization
     st.markdown("""
-        **Regularization:** Regularization is a technique that prevents the model from “overfitting,” meaning stop them from learning the noise or small quirks in the data. 
+        **Regularization:** Regularization is a technique that prevents the model from “overfitting,” meaning stops them from learning the noise or small quirks in the data, and helps generalize better. 
         
         Choose a regularization technique:
         - L1 Regularization: This forces the model to work with as few features as possible, which helps highlight the most important signals and ignore irrelevant ones.
@@ -51,7 +51,8 @@ def render():
     #### Choosing random seed
     if regularization_method=="l1":
         st.markdown("""
-            **Random Seed:** Random seed controls the stochasticity (or randomness) of the learning process.<br>
+            **Random Seed:** Random seed controls the stochasticity (or randomness) of the learning process.
+            
             Choose a random seed.
         """
         )