COSMIT

jnothman · jnothman · commit 84f17580abc0 · 2016-09-15T00:12:40.000+10:00
diff --git a/sklearn/metrics/cluster/supervised.py b/sklearn/metrics/cluster/supervised.py
@@ -212,7 +212,7 @@ def adjusted_rand_score(labels_true, labels_pred):
 
     prod_comb = (sum_comb_c * sum_comb_k) / float(comb(n_samples, 2))
     mean_comb = (sum_comb_k + sum_comb_c) / 2.
-    return float((sum_comb - prod_comb) / (mean_comb - prod_comb))
+    return (sum_comb - prod_comb) / (mean_comb - prod_comb)
 
 
 def homogeneity_completeness_v_measure(labels_true, labels_pred):
