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Created December 12, 2020 14:51
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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')
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