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X, y = make_classification(n_samples=100, n_features=2, | |
n_informative=2, n_redundant=0, | |
n_classes=2, weights=[0.2, 0.8], | |
class_sep=0.95, random_state=0) | |
plt.figure(figsize=(12, 8)) | |
plt.title('Repartition before SMOTE') | |
plt.scatter(X[y==1][:, 0], X[y==1][:, 1], label='class 1') | |
plt.scatter(X[y==0][:, 0], X[y==0][:, 1], label='class 0') | |
plt.legend() | |
plt.grid(False) | |
plt.show() |
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