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CostSensitiveClassification

costcla is a Python module for cost-sensitive machine learning (classification) built on top of Scikit-Learn <http://scikit-learn.org/stable/>, SciPy <http://www.scipy.org/> and distributed under the 3-Clause BSD license.

In particular, it provides:

1. A set of example-dependent cost-sensitive algorithms
2. Different reald-world example-dependent cost-sensitive datasets.

The project is part of the PhD research of Alejandro Correa Bahnsen <http://albahnsen.com>__.

Installation

You can install costcla with pip::

# pip install costcla

Documentation

Documentation is available at http://albahnsen.github.com/CostSensitiveClassification

Tutorials are available at http://albahnsen.github.io/CostSensitiveClassification/Tutorials.html

Development

Source code is available at https://github.com/albahnsen/CostSensitiveClassification