.
sklearn.datasets import make_classification data3 = make_classification(n_samples=20, n_features=4, n_informative=4, n_redundant=0, n_repeated=0, n_classes=2, n_clusters_per_class=1, weights=None, flip_y=0.01, class_sep=1.0, hypercube=True, shift=0.0, scale=1.0, shuffle=True, random_state=None) df3