from sklearn.datasets import load_iris, load_wine, load_breast_cancer, load_digits, load_diabetes
iris = load_iris()
wine = load_wine()
cancer = load_breast_cancer()
digits = load_digits()
diabetes = load_diabetes()
def preview_dataset(name, dataset):
    print(f"\n=== {name} Dataset ===")
    print("Features shape:", dataset.data.shape)
    print("Target shape:", dataset.target.shape)
    print("Feature names:", dataset.feature_names[:5], "...")  # Show a few
    print("Target classes:", dataset.target_names if hasattr(dataset, 'target_names') else "Regression
values")
preview_dataset("Iris", iris)
preview_dataset("Wine", wine)
preview_dataset("Breast Cancer", cancer)
preview_dataset("Digits", digits)
preview_dataset("Diabetes", diabetes)
