new metrics

src/leaderboard/processor.py

@@ -42,8 +42,8 @@ def calculate_integral_score(row: pd.Series) -> float:
     micro_error_col = "micro_avg_error_ratio"
     if micro_error_col in row and pd.notna(row[micro_error_col]):
         # Micro error is stored as %, convert back to ratio
-        micro_error_ratio = row[micro_error_col] / 100.0
-        integral_score *= (1.0 - micro_error_ratio)
+        # micro_error_ratio = row[micro_error_col] / 100.0
+        integral_score *= (1.0 - row[micro_error_col])
 
     # Runtime Penalty
     avg_runtime_ms = None # Initialize