Update app.py

app.py

@@ -71,7 +71,7 @@ def calculate_scores(df):
     underconfidence = df['Underconfidence'].sum() / n
 
     return {
-        'Metaknowledge Score': f"{round(meta_cog_ratio * 100, 0)}%",
+        # 'Metaknowledge Score': f"{round(meta_cog_ratio * 100, 0)}%",
         'Accuracy': f"{round(accuracy * 100, 0)}%",
         'Overconfidence': f"{round(overconfidence * 100, 0)}%",
         'Underconfidence': f"{round(underconfidence * 100, 0)}%"