sklearn.datasets.load_breast_cancer(return_X_y=False)
[source]
Load and return the breast cancer wisconsin dataset (classification).
The breast cancer dataset is a classic and very easy binary classification dataset.
Classes | 2 |
Samples per class | 212(M),357(B) |
Samples total | 569 |
Dimensionality | 30 |
Features | real, positive |
Read more in the User Guide.
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Returns: |
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Let’s say you are interested in the samples 10, 50, and 85, and want to know their class name.
>>> from sklearn.datasets import load_breast_cancer >>> data = load_breast_cancer() >>> data.target[[10, 50, 85]] array([0, 1, 0]) >>> list(data.target_names) ['malignant', 'benign']
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Licensed under the 3-clause BSD License.
http://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_breast_cancer.html