test: Update ARIMA PLUS score tests to ignore future BQML column additions

tests/system/large/ml/test_forecasting.py

@@ -88,6 +88,7 @@ def test_arima_plus_model_fit_score(
         result,
         columns=expected_columns,
         index=2 if id_col_name else 1,
+        col_exact=False,
     )
 
     # save, load to ensure configuration was kept

tests/system/large/ml/test_llm.py

@@ -198,6 +198,7 @@ def test_llm_gemini_score(llm_fine_tune_df_default_index, model_name):
             "evaluation_status",
         ],
         index=1,
+        col_exact=False,
     )
 
 
@@ -226,6 +227,7 @@ def test_llm_gemini_pro_score_params(llm_fine_tune_df_default_index, model_name)
             "label",
             "evaluation_status",
         ],
+        col_exact=False,
     )
 
 

tests/system/small/ml/test_forecasting.py

@@ -493,7 +493,7 @@ def test_arima_plus_score(
             dtype="Float64",
         )
     pd.testing.assert_frame_equal(
-        result,
+        result[expected.columns],
         expected,
         rtol=0.1,
         check_index_type=False,
@@ -594,7 +594,7 @@ def test_arima_plus_score_series(
             dtype="Float64",
         )
     pd.testing.assert_frame_equal(
-        result,
+        result[expected.columns],
         expected,
         rtol=0.1,
         check_index_type=False,