diff --git a/e2e/test_simple_metrics.py b/e2e/test_simple_metrics.py
index c232e65..900fd24 100644
--- a/e2e/test_simple_metrics.py
+++ b/e2e/test_simple_metrics.py
@@ -140,7 +140,8 @@ async def test_simple_metrics_happy_path_persists_all_metrics_and_columns(
     prediction/target pair set and written one row per metric. Every column
     expected by ``sientia_data.simple_metrics`` must be populated (except the
     nullable ``timestamp`` column) and the numerical values must match
-    closed-form expectations.
+    closed-form expectations, rounded to 2 decimals as ``RegressionMetrics``
+    persists them (see ``sientia_model/metrics/regression.py``).
     """
     client = temporal_test_env.client
     model_id = 511
@@ -154,13 +155,13 @@ async def test_simple_metrics_happy_path_persists_all_metrics_and_columns(
     ]
     diffs = [target - prediction for prediction, target in pairs]
     n = len(diffs)
-    expected_rmse = math.sqrt(sum(d * d for d in diffs) / n)
-    expected_mse = sum(d * d for d in diffs) / n
-    expected_mae = sum(abs(d) for d in diffs) / n
+    expected_rmse = round(math.sqrt(sum(d * d for d in diffs) / n), 2)
+    expected_mse = round(sum(d * d for d in diffs) / n, 2)
+    expected_mae = round(sum(abs(d) for d in diffs) / n, 2)
     target_mean = sum(t for _, t in pairs) / n
     ss_res = sum((target - prediction) ** 2 for prediction, target in pairs)
     ss_tot = sum((t - target_mean) ** 2 for _, t in pairs)
-    expected_r2 = 1.0 - (ss_res / ss_tot)
+    expected_r2 = round(1.0 - (ss_res / ss_tot), 2)
 
     _seed_predictions_and_targets(postgres_engine, model_id=model_id, pairs=pairs)