I am trying to generate synthetic data using make_classification function: import sklearn.datasets as sk X, y = sk.make_classification(n_samples=10, n_features=3, n_informative=2, n_redundant=0, n_classes=2, n_clusters_per_class=1, weights=None, random_state=1) print(X) What to do the parameters of make_classification mean? Continue reading...
