:py:mod:`kosmos.ml.datasets.wdbc_dataset`
=========================================

.. py:module:: kosmos.ml.datasets.wdbc_dataset







Classes
-------

.. py:class:: WDBCDataset(*, min_max_scaler: bool = True)

   Bases: :py:class:`kosmos.ml.datasets.dataset.SLDataset`

   WDBC (wisconsin breast cancer) dataset for binary classification.

   .. admonition:: Notes

      - Number of instances: 569
      - Number of features: 30 numeric
      - Classes: 2 (slighty imbalanced; 357 benign, 212 malign)

   .. admonition:: References

      - UCI Machine Learning Repository — WDBC dataset: https://archive.ics.uci.edu/dataset/17/breast+cancer+wisconsin+diagnostic

   Initialize the dataset.

   :param min_max_scaler: Whether to apply min-max scaling to the features.
   :type min_max_scaler: bool




   |

   .. rubric:: Properties

   .. py:property:: class_names

      B->0 (Benign), M->1 (Malignant).

      :type: Return human-readable class labels and map

   .. py:property:: input_dimension

      Number of feature columns.

   .. py:property:: output_dim

      Number of distinct classes.