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2 parents d4532e2 + 824115a commit 0ff1fe5Copy full SHA for 0ff1fe5
examples/classification/plot_lda.py
@@ -58,9 +58,9 @@ def generate_data(n_samples, n_features):
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features_samples_ratio = np.array(n_features_range) / n_train
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plt.plot(features_samples_ratio, acc_clf1, linewidth=2,
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- label="Linear Discriminant Analysis with shrinkage", color='r')
+ label="Linear Discriminant Analysis with shrinkage", color='navy')
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plt.plot(features_samples_ratio, acc_clf2, linewidth=2,
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- label="Linear Discriminant Analysis", color='g')
+ label="Linear Discriminant Analysis", color='gold')
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plt.xlabel('n_features / n_samples')
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plt.ylabel('Classification accuracy')
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