diff --git a/EMFieldML/Visualize/Prediction.py b/EMFieldML/Visualize/Prediction.py
index 7dd4002..34e3e95 100644
--- a/EMFieldML/Visualize/Prediction.py
+++ b/EMFieldML/Visualize/Prediction.py
@@ -264,14 +264,16 @@ def mu_star_efficiency(
 ):
     """Calculate mu_star for efficiency prediction."""
     k_star = rbf_kernel(X_train, X_test, lengthscale, scale)
-    k_star_star = rbf_kernel(X_test, X_test, lengthscale, scale) + noise * np.eye(
-        len(X_test)
-    )
     mu_star = calculate_mu_star(X_test, k_star, K_inv_Y_train, mean_constant) ** (
         config.prepocessing_value_efficiency
     )
-    var_star = (k_star_star - k_star.T @ K_inv @ k_star) ** (1 / 2)
-    return mu_star, var_star
+
+    if mu_star[0][0] < 0.0:
+        mu_star[0][0] = 0.0
+    elif mu_star[0][0] > 1.0:
+        mu_star[0][0] = 1.0
+
+    return mu_star
 
 
 def vector(
diff --git a/EMFieldML/Visualize/Visualize.py b/EMFieldML/Visualize/Visualize.py
index 30cb4be..0abb3f3 100644
--- a/EMFieldML/Visualize/Visualize.py
+++ b/EMFieldML/Visualize/Visualize.py
@@ -106,8 +106,7 @@ def render_controls(self) -> dict[str, bool]:
 
         # Display efficiency
         psim.TextUnformatted(
-            f"Efficiency : {self.visualizer.efficiency[0][0]*config.convert_efficiency:.3f} ± "
-            f"{abs(self.visualizer.var_efficiency[0][0])*config.convert_efficiency:.3f} %",
+            f"Efficiency : {self.visualizer.efficiency[0][0]*config.convert_efficiency:.3f} %  "
         )
         psim.Separator()
 
@@ -295,7 +294,6 @@ def _init_ml_params(self):
         self.values = None
         self.db_values = None
         self.efficiency = None
-        self.var_efficiency = None
         self.magnetic_vector = None
 
         # Training data and models
@@ -1161,7 +1159,7 @@ def _run_initial_predictions(self):
             )[0]
 
             # Predict efficiency
-            self.efficiency, self.var_efficiency = Prediction.mu_star_efficiency(
+            (self.efficiency) = Prediction.mu_star_efficiency(
                 self.X_train_efficiency,
                 self.X_test,
                 self.K_inv_Y_train_efficiency,
@@ -1430,7 +1428,7 @@ def update_values_for_move(self):
         ).reshape(-1)
         self.dBvalues = Visualize.convert_to_db(self.values)
 
-        self.efficiency, self.var_efficiency = Prediction.mu_star_efficiency(
+        self.efficiency = Prediction.mu_star_efficiency(
             self.X_train_efficiency,
             self.X_test,
             self.K_inv_Y_train_efficiency,
@@ -1559,7 +1557,7 @@ def update_values_for_shape(
             self.mean_constant_mag,
         ).reshape(-1)
         self.dBvalues = Visualize.convert_to_db(self.values)
-        self.efficiency, self.var_efficiency = Prediction.mu_star_efficiency(
+        self.efficiency = Prediction.mu_star_efficiency(
             self.X_train_efficiency,
             self.X_test,
             self.K_inv_Y_train_efficiency,