.. _covtype:

Forest covertypes
=================

The samples in this dataset correspond to 30×30m patches of forest in the US,
collected for the task of predicting each patch's cover type,
i.e. the dominant species of tree.
There are seven covertypes, making this a multiclass classification problem.
Each sample has 54 features, described on the
`dataset's homepage <http://archive.ics.uci.edu/ml/datasets/Covertype>`_.
Some of the features are boolean indicators,
while others are discrete or continuous measurements.

:func:`sklearn.datasets.fetch_covtype` will load the covertype dataset;
it returns a dictionary-like object
with the feature matrix in the ``data`` member
and the target values in ``target``.
The dataset will be downloaded from the web if necessary.