diff --git a/smt/utils/misc.py b/smt/utils/misc.py
index 37935b59c..f136d18af 100644
--- a/smt/utils/misc.py
+++ b/smt/utils/misc.py
@@ -108,7 +108,7 @@ def compute_relative_error(sm, xe=None, ye=None, kx=None):
         return num / den
 
 
-def compute_pva_error(sm, xe, ye):
+def compute_pva(sm, xe, ye):
     ye = ye.reshape((xe.shape[0], 1))
     N = len(ye)
     ye2 = sm.predict_values(xe)
@@ -119,7 +119,7 @@ def compute_pva_error(sm, xe, ye):
     return pva
 
 
-def compute_rmse_error(sm, xe, ye):
+def compute_rmse(sm, xe, ye):
     ye = ye.reshape((xe.shape[0], 1))
     N = len(ye)
     ye2 = sm.predict_values(xe)
@@ -127,10 +127,10 @@ def compute_rmse_error(sm, xe, ye):
     return rmse
 
 
-def compute_q2_error(sm, xe, ye):
+def compute_q2(sm, xe, ye):
     ye = ye.reshape((xe.shape[0], 1))
     N = len(ye)
-    square_rmse = compute_rmse_error(sm, xe, ye) ** 2
+    square_rmse = compute_rmse(sm, xe, ye) ** 2
     ye_mean = np.mean(ye)
     variance = np.sum((ye - ye_mean) ** 2) / N
     Q2 = 1 - (square_rmse / variance)
diff --git a/smt/utils/test/test_misc_utils.py b/smt/utils/test/test_misc_utils.py
index 1c920e23a..1685f293e 100644
--- a/smt/utils/test/test_misc_utils.py
+++ b/smt/utils/test/test_misc_utils.py
@@ -9,9 +9,9 @@
 import numpy as np
 
 from smt.utils.misc import (
-    compute_q2_error,
-    compute_pva_error,
-    compute_rmse_error,
+    compute_q2,
+    compute_pva,
+    compute_rmse,
     standardization,
 )
 from smt.problems import Sphere
@@ -51,7 +51,7 @@ def test_pva_error(self):
         sm.set_training_values(xe, ye)
         sm.train()
 
-        pva = compute_pva_error(sm, xe, ye)
+        pva = compute_pva(sm, xe, ye)
         self.assertLess(pva, 0.7)
 
     def test_rmse_error(self):
@@ -60,7 +60,7 @@ def test_rmse_error(self):
         sm.set_training_values(xe, ye)
         sm.train()
 
-        rmse = compute_rmse_error(sm, xe, ye)
+        rmse = compute_rmse(sm, xe, ye)
         self.assertLess(rmse, 0.1)
 
     def test_q2_error(self):
@@ -69,7 +69,7 @@ def test_q2_error(self):
         sm.set_training_values(xe, ye)
         sm.train()
 
-        q2 = compute_q2_error(sm, xe, ye)
+        q2 = compute_q2(sm, xe, ye)
         self.assertAlmostEqual(q2, 1.0, delta=1e-3)