diff --git a/scikitplot/metrics.py b/scikitplot/metrics.py
index 08ec693..251cfb0 100644
--- a/scikitplot/metrics.py
+++ b/scikitplot/metrics.py
@@ -331,7 +331,7 @@ def plot_roc_curve(y_true, y_probas, title='ROC Curves',
 
 def plot_roc(y_true, y_probas, title='ROC Curves',
                    plot_micro=True, plot_macro=True, classes_to_plot=None,
-                   ax=None, figsize=None, cmap='nipy_spectral',
+                   show_labels=True, ax=None, figsize=None, cmap='nipy_spectral',
                    title_fontsize="large", text_fontsize="medium"):
     """Generates the ROC curves from labels and predicted scores/probabilities
 
@@ -351,6 +351,9 @@ def plot_roc(y_true, y_probas, title='ROC Curves',
         plot_macro (boolean, optional): Plot the macro average ROC curve.
             Defaults to ``True``.
 
+        show_labels (boolean, optional): Shows the labels in the plot.
+            Defaults to ``True``.
+
         classes_to_plot (list-like, optional): Classes for which the ROC
             curve should be plotted. e.g. [0, 'cold']. If given class does not exist,
             it will be ignored. If ``None``, all classes will be plotted. Defaults to
@@ -457,7 +460,8 @@ def plot_roc(y_true, y_probas, title='ROC Curves',
     ax.set_xlabel('False Positive Rate', fontsize=text_fontsize)
     ax.set_ylabel('True Positive Rate', fontsize=text_fontsize)
     ax.tick_params(labelsize=text_fontsize)
-    ax.legend(loc='lower right', fontsize=text_fontsize)
+    if show_labels is True:
+        ax.legend(loc='lower right', fontsize=text_fontsize)
     return ax