# CostSensitiveClassification

**Repository Path**: wsyybt/CostSensitiveClassification

## Basic Information

- **Project Name**: CostSensitiveClassification
- **Description**: CostSensitiveClassification Library in Python
- **Primary Language**: Unknown
- **License**: BSD-3-Clause
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-06-26
- **Last Updated**: 2021-06-26

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

.. image:: https://badge.fury.io/py/costcla.svg  
.. image:: https://img.shields.io/badge/python-2.7-blue.svg  
.. image:: https://img.shields.io/badge/python-3.5-blue.svg  
.. image:: https://img.shields.io/badge/license-BSD-blue.svg  

.. image:: https://raw.githubusercontent.com/albahnsen/CostSensitiveClassification/master/logo.png

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