orange

app.py

@@ -477,9 +477,9 @@ def create_accuracy_bar_chart():
 
     fig, ax = plt.subplots(figsize=(8, 2.8), dpi=150)
 
-    # Create colors array - highlight the best model with a significantly darker shade
-    colors = ['#4B6D98' if i == best_idx else '#8B9DC3' for i in range(len(model_labels))]
-    bars = ax.bar(range(len(model_labels)), accuracies, color=colors, alpha=0.7)
+    # Create colors array - highlight the best model with dark reddish orange, others soft pink
+    colors = ['#F8481C' if i == best_idx else '#F8BBD0' for i in range(len(model_labels))]
+    bars = ax.bar(range(len(model_labels)), accuracies, color=colors, alpha=0.85)
 
     # Add text above the highest bar
     ax.text(best_idx, accuracies[best_idx] + 0.0025, 'True best model',
@@ -495,8 +495,10 @@ def create_accuracy_bar_chart():
     for i, (bar, acc) in enumerate(zip(bars, accuracies)):
         # Position text in the middle of the visible part of the bar
         text_y = (y_min + acc) / 2
+        # Use black text for all bars
+        text_color = '#000000'
         ax.text(i, text_y, f'{acc:.3f}',
-                ha='center', va='center', fontsize=10, fontweight='bold', color='white')
+                ha='center', va='center', fontsize=10, fontweight='bold', color=text_color)
 
     # Set x-axis labels and ticks
     ax.set_xticks(range(len(model_labels)))