diff --git a/tests/test_learning.py b/tests/test_learning.py
index 4f618f7c1..e341e699f 100644
--- a/tests/test_learning.py
+++ b/tests/test_learning.py
@@ -1,7 +1,114 @@
+import pytest
+
 from learning import parse_csv, weighted_mode, weighted_replicate, DataSet, \
                      PluralityLearner, NaiveBayesLearner, NearestNeighborLearner, \
-                     NeuralNetLearner, PerceptronLearner, DecisionTreeLearner
+                     NeuralNetLearner, PerceptronLearner, DecisionTreeLearner, \
+                     mean_error, rms_error, ms_error, manhattan_distance, \
+                     mean_boolean_error, hamming_distance
 from utils import DataFile
+from math import sqrt
+
+
+def test_ms_error():
+    predictions = [1, 1, 1]
+    targets = [1, 1, 1]
+
+    assert ms_error(predictions, targets) == 0
+
+    predictions = [1, 1, 1]
+    targets = [2, 2, 2]
+
+    assert ms_error(predictions, targets) == 1
+
+    predictions = [1, 1, 1, 1]
+    targets = [1, 3, 3, 1]
+
+    assert ms_error(predictions, targets) == 2
+
+
+def test_mean_error():
+    predictions = [1, 1, 1]
+    targets = [1, 1, 1]
+
+    assert mean_error(predictions, targets) == 0
+
+    predictions = [1, 1, 1]
+    targets = [2, 2, 2]
+
+    assert mean_error(predictions, targets) == 1
+
+    predictions = [1, 1, 2, 1]
+    targets = [1, 3, 1, 1]
+
+    assert mean_error(predictions, targets) == 0.75
+
+
+def test_rms_error():
+    predictions = [1, 1, 1]
+    targets = [1, 1, 1]
+
+    assert rms_error(predictions, targets) == 0
+
+    predictions = [1, 1, 1]
+    targets = [2, 2, 2]
+
+    assert rms_error(predictions, targets) == 1
+
+    predictions = [1, 1, 2, 1]
+    targets = [1, 2, 1, 1]
+
+    assert rms_error(predictions, targets) == pytest.approx(sqrt(0.5))
+
+
+def test_manhattan_distance():
+    predictions = [1, 1, 1]
+    targets = [1, 1, 1]
+
+    assert manhattan_distance(predictions, targets) == 0
+
+    predictions = [1, 1, 1]
+    targets = [2, 2, 2]
+
+    assert manhattan_distance(predictions, targets) == 3
+
+    predictions = [1, 1, 2, 3]
+    targets = [1, 3, 1, 1]
+
+    assert manhattan_distance(predictions, targets) == 5
+
+
+def test_mean_boolean_error():
+    predictions = [1, 1, 1]
+    targets = [1, 1, 1]
+
+    assert mean_boolean_error(predictions, targets) == 0
+
+    predictions = [1, 1, 1]
+    targets = [2, 2, 2]
+
+    assert mean_boolean_error(predictions, targets) == 1
+
+    predictions = [1, 1, 2, 3]
+    targets = [1, 3, 1, 2]
+
+    assert mean_boolean_error(predictions, targets) == 0.75
+
+
+def test_hamming_distance():
+    predictions = [1, 1, 1]
+    targets = [1, 1, 1]
+
+    assert hamming_distance(predictions, targets) == 0
+
+    predictions = [1, 1, 1]
+    targets = [2, 2, 2]
+
+    assert hamming_distance(predictions, targets) == 3
+
+    predictions = [1, 1, 2, 3]
+    targets = [1, 3, 1, 1]
+
+    assert hamming_distance(predictions, targets) == 3
 
 
 def test_exclude():