[data] fixing model

app.py

@@ -162,8 +162,8 @@ with demo:
                     # Data
                     scores = np.array([
                         [0.20, 0.35, 0.45, 0.50, 0.85],  # Detail-oriented
-                        [0.40, 0.55, 0.60, 0.73, 0.58],  # Risk-conscious
-                        [0.20, 0.65, 0.67, 0.70, 0.75]   # Accuracy-focused
+                        [0.40, 0.55, 0.67, 0.53, 0.58],  # Risk-conscious
+                        [0.20, 0.60, 0.72, 0.69, 0.75]   # Accuracy-focused
                     ])
 
                     x = np.arange(len(user_types))