Update app.py

app.py

@@ -65,9 +65,13 @@ if uploaded_file is not None:
     # Predict confidence scores for the entire dataset
     y_prob = gnb.predict_proba(X)
     confidence_scores = y_prob.max(axis=1)
-    df['Confidence_score'] = confidence_scores
+    df['Confidence_score (%)'] = confidence_scores
+    df['Confidence_score (%)']  = df['Confidence_score (%)'] * 100
     df =df.drop('All_raters_Score', axis = 1)
-    
+    df = df[[ 'Title', 'Code', 'Dimensions', 'Boss_score',
+             'Colleague_score', 'Colleague_other_score', 'Report_score',
+             'Customer_score', 'Benchmark_score','Average_score',
+             'Self_score', 'Confidence_score']]
     st.write("### Processed Dataset")
     st.write(df)