Update app.py

app.py

@@ -277,7 +277,7 @@ def compute_top5_actions(df):
     high_summary = (
         high_risk.groupby(["Recommendation", "Category"])
                  .agg(**{"Nr. Customers": ("Recommendation", "size"),
-                         "AvgProbability": ("Probability", "mean")})
+                         "Avg Churn Prob.": ("Probability", "mean")})
                  .reset_index()
                  .sort_values("Nr. Customers", ascending=False)
                  .head(5)
@@ -285,15 +285,15 @@ def compute_top5_actions(df):
     low_summary = (
         low_risk.groupby(["Recommendation", "Category"])
                 .agg(**{"Nr. Customers": ("Recommendation", "size"),
-                        "AvgProbability": ("Probability", "mean")})
+                        "Avg Churn Prob.": ("Probability", "mean")})
                 .reset_index()
                 .sort_values("Nr. Customers", ascending=False)
                 .head(5)
     )
 
     # Format probabilities as percentages
-    high_summary["AvgProbability"] = (high_summary["AvgProbability"] * 100).round(1).astype(str) + "%"
-    low_summary["AvgProbability"] = (low_summary["AvgProbability"] * 100).round(1).astype(str) + "%"
+    high_summary["Avg Churn Prob."] = (high_summary["Avg Churn Prob."] * 100).round(1).astype(str) + "%"
+    low_summary["Avg Churn Prob."] = (low_summary["Avg Churn Prob."] * 100).round(1).astype(str) + "%"
 
     # Rename Category column for display
     high_summary = high_summary.rename(columns={"Category": "Category"})