diff --git a/pattern/vector/svm/libsvmutil.py b/pattern/vector/svm/libsvmutil.py
index 29110b00..9ce8e37f 100644
--- a/pattern/vector/svm/libsvmutil.py
+++ b/pattern/vector/svm/libsvmutil.py
@@ -14,6 +14,8 @@
 from .libsvm import *
 from .libsvm import __all__ as svm_all
 
+import numpy as np
+
 __all__ = ['evaluations', 'svm_load_model', 'svm_predict', 'svm_read_problem',
            'svm_save_model', 'svm_train'] + svm_all
 
@@ -77,16 +79,13 @@ def evaluations(ty, pv):
     if len(ty) != len(pv):
         raise ValueError("len(ty) must equal to len(pv)")
     total_correct = total_error = 0
-    sumv = sumy = sumvv = sumyy = sumvy = 0
-    for v, y in zip(pv, ty):
-        if y == v:
-            total_correct += 1
-        total_error += (v - y) * (v - y)
-        sumv += v
-        sumy += y
-        sumvv += v * v
-        sumyy += y * y
-        sumvy += v * y
+    sumv = np.sum(pv)
+    sumy = np.sum(ty)
+    sumvv = np.dot(pv,pv)
+    sumyy = np.dot(ty,ty)
+    sumvy = np.dot(pv,ty)      
+    total_correct = np.sum([1 for v, y in zip(pv, ty) if y == v])
+    total_error = np.sum(np.subtract(pv, ty)**2) 
     l = len(ty)
     ACC = 100.0 * total_correct / l
     MSE = total_error / l