Python Programming

Next question!

Question 2: How many features does each instance have?

It will also be useful to know how many features/attributes our dataset has. Since x is a NumPy array, let us use its .shape attribute to find out!

>>> print(x.shape)
(150, 4)
>>> print(y.shape)
(150,)

This actually answers both the first and second questions. Scikit-learn models expect the input x to be of size $N \times K$, for $N$ instances and $K$ features. So we answered both questions in one go! ($N = 150$, $K = 4$)

We also know that y has 150 labels (one label per instance). Sounds right!