Update app.py

app.py

@@ -99,7 +99,7 @@ def check_distribution(target_column, show_histogram):
         result_text += f"Top {i + 1}: {name} with a p-value of {p_value_text}\n"
 
     # Add disclaimer about p-value significance
-    result_text += "\nDisclaimer: A significant p-value (below 0.05) indicates that the distribution does not conform well to the actual data distribution."
+    result_text += "\nKolmogorov-Smirnov Test - A significant p-value (below 0.05) indicates that the distribution does not conform well to the actual data distribution."
 
     # Normal distribution comparison
     mean, std = norm.fit(data)
@@ -114,7 +114,7 @@ def check_distribution(target_column, show_histogram):
         sns.histplot(data, kde=False, stat="density", bins=50, color=actual_data_color, label='Actual Data Distribution')
     sns.kdeplot(data, color=actual_data_color, lw=2, label='Actual Data Distribution Line')
     plt.plot(normal_best_fit_data, normal_pdf, color=normal_color, lw=2, label=f'Normal Fit (p-value={p_value_text})')
-    plt.title("Comparison with Normal Distribution")
+    plt.title("Comparison with Normal Distribution (Kolmogorov-Smirnov)")
     plt.legend()
 
     # Save plot to temporary file