sklearn.datasets.load_breast_cancer()

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

Parameters:

Parameters:	return_X_y : boolean, default=False If True, returns `(data, target)` instead of a Bunch object. See below for more information about the `data` and `target` object. New in version 0.18.
Returns:	data : Bunch Dictionary-like object, the interesting attributes are: ?data?, the data to learn, ?target?, the classification labels, ?target_names?, the meaning of the labels, ?feature_names?, the meaning of the features, and ?DESCR?, the full description of the dataset. (data, target) : tuple if `return_X_y` is True New in version 0.18. The copy of UCI ML Breast Cancer Wisconsin (Diagnostic) dataset is : downloaded from: : https://goo.gl/U2Uwz2 :

return_X_y : boolean, default=False

If True, returns (data, target) instead of a Bunch object. See below for more information about the data and target object.

New in version 0.18.

Returns:

data : Bunch

Dictionary-like object, the interesting attributes are: ?data?, the data to learn, ?target?, the classification labels, ?target_names?, the meaning of the labels, ?feature_names?, the meaning of the features, and ?DESCR?, the full description of the dataset.

(data, target) : tuple if return_X_y is True

New in version 0.18.

The copy of UCI ML Breast Cancer Wisconsin (Diagnostic) dataset is :

downloaded from: :

https://goo.gl/U2Uwz2 :

Examples

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']

Links:

http://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_breast_cancer.html

doc_scikit_learn

2017-01-15 04:25:44

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