There's at least one that is part of base.py in sklearn.datasets. from sklearn.datasets import load_breast_cancer
load_breast_cancer? Signature: load_breast_cancer(return_X_y=False) Docstring: 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 ================= ============== It is a very small data set. If you need something much larger, you can easily create large (artificial) sets using make_classification. And you can augment that with faker or elizabeth (pypi modules, not part of scikit-learn) to create realistic looking data sets. Francois about.me/francois.dion On Sun, Dec 3, 2017 at 3:54 PM, Peng Yu <pengyu...@gmail.com> wrote: > Hi, iris is a three-class dataset. Is there a dataset in sklearn that > is suitable for binary classification? Thanks. > > -- > Regards, > Peng > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn >
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