diff --git a/README.md b/README.md
index a1fd385..5fcae69 100644
--- a/README.md
+++ b/README.md
@@ -1,7 +1,9 @@
 # modeling-and-inferring-higher-order-contagion-spread
 
+THIS IS A RAD PROJECT!
+
 Some things:
 
 * To run the unit tests, you need to pip install the package locally. Navigate to the local folder on your computer and run "pip install -e ."
 * To run the unit tests, run "pytest" in the command line.
-* The package is referenced as `lcs` (Learning complex structure) when accessing the functionality.
\ No newline at end of file
+* The package is referenced as `lcs` (Learning complex structure) when accessing the functionality.
diff --git a/lcs/measures.py b/lcs/measures.py
index fd928b5..2fcfc10 100644
--- a/lcs/measures.py
+++ b/lcs/measures.py
@@ -76,3 +76,10 @@ def density(A):
 
 def hamming_distance(A1, A2):
     return np.sum(np.abs(A1 - A2)) / 2
+
+
+def auroc(samples,A):
+    Q = samples.mean(axis=0)
+    A = A.flatten()
+    Q = Q.flatten()
+    return roc_auc_score(A,Q)
diff --git a/lcs/utilities.py b/lcs/utilities.py
index d28d020..0248333 100644
--- a/lcs/utilities.py
+++ b/lcs/utilities.py
@@ -5,6 +5,7 @@
 from scipy.sparse import csr_array
 from scipy.sparse.csgraph import reverse_cuthill_mckee
 from scipy.stats import rv_discrete
+from sklearn.metrics import roc_auc_score
 
 from .contagion import *
 from .generative import erdos_renyi