quickstart-1.py

from sklearn.datasets import make_classification

n_features = 20
feature_names = [f"x_{n}" for n in range(n_features)]
class_names = ['0', '1']

X, y = make_classification(n_samples=1000, 
                           n_features=n_features, n_informative=5, 
                           n_redundant=5, n_repeated=0, 
                           n_classes=2, n_clusters_per_class=1,
                           class_sep=1.0,
                           )