diff --git a/examples/datasets/plot_make_imbalance.py b/examples/datasets/plot_make_imbalance.py
index 60bc5eebc..7533d6dc4 100644
--- a/examples/datasets/plot_make_imbalance.py
+++ b/examples/datasets/plot_make_imbalance.py
@@ -52,4 +52,5 @@
                linewidth=0.15)
     ax.set_title('make_imbalance ratio ({})'.format(ratio))
 
+plt.tight_layout()
 plt.show()
diff --git a/examples/under-sampling/plot_allknn.py b/examples/under-sampling/plot_allknn.py
index 6995183e8..056a94798 100644
--- a/examples/under-sampling/plot_allknn.py
+++ b/examples/under-sampling/plot_allknn.py
@@ -57,7 +57,7 @@
 ax2.scatter(X_res_vis[y_resampled == 1, 0], X_res_vis[y_resampled == 1, 1],
             label="Class #1", alpha=.5, edgecolor=almost_black,
             facecolor=palette[2], linewidth=0.15)
-ax2.set_title('Edited nearest neighbours')
+ax2.set_title('ENN')
 
 # Apply the RENN
 print('RENN')
@@ -72,7 +72,7 @@
 ax3.scatter(X_res_vis[y_resampled == 1, 0], X_res_vis[y_resampled == 1, 1],
             label="Class #1", alpha=.5, edgecolor=almost_black,
             facecolor=palette[2], linewidth=0.15)
-ax3.set_title('Repeated Edited nearest neighbours')
+ax3.set_title('RENN')
 
 # Apply the AllKNN
 print('AllKNN')
@@ -89,4 +89,5 @@
             facecolor=palette[2], linewidth=0.15)
 ax4.set_title('AllKNN')
 
+plt.tight_layout()
 plt.show()
diff --git a/examples/under-sampling/plot_instance_hardness_threshold.py b/examples/under-sampling/plot_instance_hardness_threshold.py
index 46bc29a31..16bf90032 100644
--- a/examples/under-sampling/plot_instance_hardness_threshold.py
+++ b/examples/under-sampling/plot_instance_hardness_threshold.py
@@ -36,7 +36,7 @@
 f, axs = plt.subplots(2, 2)
 
 axs = [a for ax in axs for a in ax]
-for ax, ratio in zip(axs, [0.0, 0.1, 0.3, 0.5]):
+for ax, ratio in zip(axs, [0.0, 0.2, 0.6, 1.0]):
     if ratio == 0.0:
         ax.scatter(X_vis[y == 0, 0], X_vis[y == 0, 1], label="Class #0",
                     alpha=0.5, edgecolor=almost_black, facecolor=palette[0],
@@ -58,4 +58,5 @@
                    facecolor=palette[2], linewidth=0.15)
         ax.set_title('Instance Hardness Threshold ({})'.format(ratio))
 
+plt.tight_layout()
 plt.show()
diff --git a/examples/under-sampling/plot_repeated_edited_nearest_neighbours.py b/examples/under-sampling/plot_repeated_edited_nearest_neighbours.py
index 82e6f4f0d..d7c124ac6 100644
--- a/examples/under-sampling/plot_repeated_edited_nearest_neighbours.py
+++ b/examples/under-sampling/plot_repeated_edited_nearest_neighbours.py
@@ -56,7 +56,7 @@
 ax2.scatter(X_res_vis[y_resampled == 1, 0], X_res_vis[y_resampled == 1, 1],
             label="Class #1", alpha=.5, edgecolor=almost_black,
             facecolor=palette[2], linewidth=0.15)
-ax2.set_title('Edited nearest neighbours')
+ax2.set_title('ENN')
 
 # Apply the RENN
 print('RENN')
@@ -70,6 +70,7 @@
 ax3.scatter(X_res_vis[y_resampled == 1, 0], X_res_vis[y_resampled == 1, 1],
             label="Class #1", alpha=.5, edgecolor=almost_black,
             facecolor=palette[2], linewidth=0.15)
-ax3.set_title('Repeated Edited nearest neighbours')
+ax3.set_title('RENN')
 
+plt.tight_layout()
 plt.show()