Dataset at a Glance — easy Machine Learning in Code problem | Incognition

Dataset at a Glance

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Machine Learning in CodeEasy

Dataset at a Glance

Before training anything, it helps to know how big a dataset is and how many answers it can have.

Task: write describe_dataset(name). name is one of "iris", "wine" or "breast_cancer".

Load that built-in dataset with scikit-learn as X and y.
Return a list of three whole numbers: [number of rows, number of feature columns, number of different labels in y].

Examples

name = "iris"

returns [150, 4, 3]

name = "wine"

returns [178, 13, 3]

Hints

solution.py

1from sklearn.datasets import load_iris, load_wine, load_breast_cancer
2
3
4def describe_dataset(name):
5    pass
6