update

app.py

@@ -74,22 +74,17 @@ if st.session_state.model_submitted:
                 st.session_state.data_processed = True  # Mark as processed
 
             # Add ranks for each score within each row
-            df['Privilege_Rank'] = \
-                df[['Privilege_Avg_Score', 'Protect_Avg_Score', 'Neutral_Avg_Score']].rank(axis=1)[
-                    'Privilege_Avg_Score']
-            df['Protect_Rank'] = df[['Privilege_Avg_Score', 'Protect_Avg_Score', 'Neutral_Avg_Score']].rank(axis=1)[
-                'Protect_Avg_Score']
-            df['Neutral_Rank'] = df[['Privilege_Avg_Score', 'Protect_Avg_Score', 'Neutral_Avg_Score']].rank(axis=1)[
-                'Neutral_Avg_Score']
+            ranks = df[['Privilege_Avg_Score', 'Protect_Avg_Score', 'Neutral_Avg_Score']].rank(axis=1,ascending=False)
+
+            df['Privilege_Rank'] = ranks['Privilege_Avg_Score']
+            df['Protect_Rank'] = ranks['Protect_Avg_Score']
+            df['Neutral_Rank'] = ranks['Neutral_Avg_Score']
 
             st.write('Processed Data:', df)
 
             # use the data to generate a plot
             st.write("Plotting the data")
 
-
-
-
             test_results = statistical_tests(df)
             print(test_results)
             evaluation_results = result_evaluation(test_results)