DOC modified the graph for better readability
diff --git a/examples/classification/plot_lda.py b/examples/classification/plot_lda.py
index 4213fc614a31a..322cc8bb4007c 100644
--- a/examples/classification/plot_lda.py
+++ b/examples/classification/plot_lda.py
@@ -47,8 +47,8 @@ def generate_data(n_samples, n_features):
     for _ in range(n_averages):
         X, y = generate_data(n_train, n_features)
 
-        clf1 = LinearDiscriminantAnalysis(solver="lsqr", shrinkage="auto").fit(X, y)
-        clf2 = LinearDiscriminantAnalysis(solver="lsqr", shrinkage=None).fit(X, y)
+        clf1 = LinearDiscriminantAnalysis(solver="lsqr", shrinkage=None).fit(X, y)
+        clf2 = LinearDiscriminantAnalysis(solver="lsqr", shrinkage="auto").fit(X, y)
         oa = OAS(store_precision=False, assume_centered=False)
         clf3 = LinearDiscriminantAnalysis(solver="lsqr", covariance_estimator=oa).fit(
             X, y
@@ -69,23 +69,23 @@ def generate_data(n_samples, n_features):
     features_samples_ratio,
     acc_clf1,
     linewidth=2,
-    label="Linear Discriminant Analysis with Ledoit Wolf",
-    color="navy",
-    linestyle="dashed",
+    label="LDA",
+    color="gold",
+    linestyle="solid",
 )
 plt.plot(
     features_samples_ratio,
     acc_clf2,
     linewidth=2,
-    label="Linear Discriminant Analysis",
-    color="gold",
-    linestyle="solid",
+    label="LDA with Ledoit Wolf",
+    color="navy",
+    linestyle="dashed",
 )
 plt.plot(
     features_samples_ratio,
     acc_clf3,
     linewidth=2,
-    label="Linear Discriminant Analysis with OAS",
+    label="LDA with OAS",
     color="red",
     linestyle="dotted",
 )
@@ -93,12 +93,13 @@ def generate_data(n_samples, n_features):
 plt.xlabel("n_features / n_samples")
 plt.ylabel("Classification accuracy")
 
-plt.legend(loc=3, prop={"size": 12})
+plt.legend(loc="lower left")
+plt.ylim((0.65, 1.0))
 plt.suptitle(
-    "Linear Discriminant Analysis vs. "
+    "LDA (Linear Discriminant Analysis) vs. "
     + "\n"
-    + "Shrinkage Linear Discriminant Analysis vs. "
+    + "LDA with Ledoit Wolf vs. "
     + "\n"
-    + "OAS Linear Discriminant Analysis (1 discriminative feature)"
+    + "LDA with OAS (1 discriminative feature)"
 )
 plt.show()

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#### What does this implement/fix? Explain your changes.

1. Changed the line orders to Linear Discriminant Analysis, with Ledoit Wolf, with OAS.
2. Moved the legend to the center right, so it does not block the lines.
3. Shortened the labels in the legend for better readability.

#### Any other comments?


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