RaisedThresholdLevelTo80

Co-authored-by: Copilot <copilot@github.com>

expense_predictor.py

@@ -189,9 +189,9 @@ def predict_expenses(expenses: list[dict], target_user_id, debug: bool = False)
             pct = count / total_records * 100
             print(f"[PREDICT]   supplier_id={supplier_id} -> {count} records ({pct:.1f}%)")
 
-    # Select suppliers whose frequency is strictly greater than 50% of the top supplier frequency.
+    # Select suppliers whose frequency is strictly greater than 80% of the top supplier frequency.
     max_freq = max(supplier_freq.values()) if supplier_freq else 0
-    freq_threshold = 0.5 * max_freq
+    freq_threshold = 0.8 * max_freq
     candidate_items = [
         item for item in supplier_history.items()
         if supplier_freq[item[0]] > freq_threshold
@@ -207,7 +207,7 @@ def predict_expenses(expenses: list[dict], target_user_id, debug: bool = False)
     if debug:
         print(
             f"[PREDICT] Processing {len(candidate_items)} suppliers "
-            f"with freq > 50% of max ({freq_threshold:.2f})"
+            f"with freq > 80% of max ({freq_threshold:.2f})"
         )
 
     if not candidate_items: