update leaderboard

app.py

@@ -50,7 +50,10 @@ def wrap_model(func):
 
         all_cols = df.columns.tolist()
         non_numeric_cols = df.select_dtypes(exclude=[np.number]).columns.tolist()
-        cols_to_round = [col for col in all_cols if col not in non_numeric_cols and col != "Model"]
+
+        exclude_cols = {"Model", "Access", "Type", "Update Time"}
+
+        cols_to_round = [col for col in all_cols if col not in exclude_cols and col not in non_numeric_cols]
         df[cols_to_round] = df[cols_to_round].apply(lambda x: np.round(x, 2))
         return df