diff --git a/tests/baseline_images/test_classifier/test_classification_report/test_quick_method.png b/tests/baseline_images/test_classifier/test_classification_report/test_quick_method.png
index 9764abfa8..e6ec1b4fc 100644
Binary files a/tests/baseline_images/test_classifier/test_classification_report/test_quick_method.png and b/tests/baseline_images/test_classifier/test_classification_report/test_quick_method.png differ
diff --git a/tests/baseline_images/test_contrib/test_prepredict/test_prepredict_classifier.png b/tests/baseline_images/test_contrib/test_prepredict/test_prepredict_classifier.png
index bd810c8b3..fb72408fb 100644
Binary files a/tests/baseline_images/test_contrib/test_prepredict/test_prepredict_classifier.png and b/tests/baseline_images/test_contrib/test_prepredict/test_prepredict_classifier.png differ
diff --git a/tests/baseline_images/test_contrib/test_prepredict/test_prepredict_regressor.png b/tests/baseline_images/test_contrib/test_prepredict/test_prepredict_regressor.png
index 6ae06abdc..133221d39 100644
Binary files a/tests/baseline_images/test_contrib/test_prepredict/test_prepredict_regressor.png and b/tests/baseline_images/test_contrib/test_prepredict/test_prepredict_regressor.png differ
diff --git a/tests/test_contrib/test_prepredict.py b/tests/test_contrib/test_prepredict.py
index 22ea7efe7..cc930b4f7 100644
--- a/tests/test_contrib/test_prepredict.py
+++ b/tests/test_contrib/test_prepredict.py
@@ -29,7 +29,10 @@
 from yellowbrick.contrib.prepredict import *
 from yellowbrick.regressor import PredictionError
 from yellowbrick.classifier import ClassificationReport
+import numpy as np
 
+# Set random state
+np.random.seed()
 
 ##########################################################################
 ## Fixtures
diff --git a/yellowbrick/classifier/classification_report.py b/yellowbrick/classifier/classification_report.py
index 49bd2838c..fca128e1b 100644
--- a/yellowbrick/classifier/classification_report.py
+++ b/yellowbrick/classifier/classification_report.py
@@ -94,6 +94,9 @@ class ClassificationReport(ClassificationScoreVisualizer):
     colorbar : bool, default: True
         Specify if the color bar should be present
 
+    fontsize : int or None, default: None
+        Specify the font size of the x and y labels
+
     kwargs : dict
         Keyword arguments passed to the visualizer base classes.
 
@@ -136,6 +139,7 @@ def __init__(
         is_fitted="auto",
         force_model=False,
         colorbar=True,
+        fontsize=None,
         **kwargs
     ):
         super(ClassificationReport, self).__init__(
@@ -154,6 +158,7 @@ def __init__(
         self.cmap.set_over(color=CMAP_OVERCOLOR)
         self.cmap.set_under(color=CMAP_UNDERCOLOR)
         self._displayed_scores = [key for key in SCORES_KEYS]
+        self.fontsize=fontsize
 
         if support not in {None, True, False, "percent", "count"}:
             raise YellowbrickValueError(
@@ -228,6 +233,26 @@ def draw(self):
         self.ax.set_ylim(bottom=0, top=cr_display.shape[0])
         self.ax.set_xlim(left=0, right=cr_display.shape[1])
 
+        # Get the human readable labels
+        labels = self._labels()
+        if labels is None:
+            labels = self.classes_
+
+        # Fetch the grid labels from the classes in correct order; set ticks.
+        xticklabels = self._displayed_scores
+        yticklabels = labels[::-1]
+        
+        yticks = np.arange(len(labels)) + 0.5
+        xticks = np.arange(len(self._displayed_scores)) + 0.5
+
+        self.ax.set(yticks=yticks, xticks=xticks)
+
+        self.ax.set_xticklabels(
+            xticklabels, rotation=45, fontsize=self.fontsize
+            )
+        self.ax.set_yticklabels(yticklabels, fontsize=self.fontsize)
+
+
         # Set data labels in the grid, enumerating over class, metric pairs
         # NOTE: X and Y are one element longer than the classification report
         # so skip the last element to label the grid correctly.
@@ -309,6 +334,7 @@ def classification_report(
     force_model=False,
     show=True,
     colorbar=True,
+    fontsize=None,
     **kwargs
 ):
     """Classification Report
@@ -386,6 +412,9 @@ def classification_report(
     colorbar : bool, default: True
         Specify if the color bar should be present
 
+    fontsize : int or None, default: None
+        Specify the font size of the x and y labels
+
     kwargs : dict
         Keyword arguments passed to the visualizer base classes.
 
@@ -405,6 +434,7 @@ def classification_report(
         is_fitted=is_fitted,
         force_model=force_model,
         colorbar=colorbar,
+        fontsize=fontsize,
         **kwargs
     )