adjusted score change

app.py

@@ -1,4 +1,5 @@
 import pandas as pd
+import numpy as np
 import gradio as gr
 import plotly.express as px
 import plotly.graph_objects as go
@@ -57,8 +58,7 @@ df.rename(columns={
 
 df['Average Accuracy (Original and G2B)'] = (df['Average G2B Accuracy'] + df['Average Original Accuracy']) / 2
 
-df['Adjusted Robustness Score'] = (df['Average Difference'] / (df['Average Accuracy (Original and G2B)'] ** 2)) * 100
-
+df['Adjusted Robustness Score'] = df['Average Accuracy (Original and G2B)'] - 0.25 - df['Average Difference'].abs()
 df['Adjusted Robustness Score'] = df['Adjusted Robustness Score'].round(2)