costcla is a Python module for cost-sensitive machine learning (classification) built on top of Scikit-Learn, SciPy and distributed under the 3-Clause BSD license.
In particular, it provides:
- A set of example-dependent cost-sensitive algorithms
- Different reald-world example-dependent cost-sensitive datasets.
The project is part of the PhD research of Alejandro Correa Bahnsen.
You can install costcla with pip:
# pip install costcla
Documentation is available at http://albahnsen.github.com/CostSensitiveClassification
Tutorials are available at http://albahnsen.github.io/CostSensitiveClassification/Tutorials.html
Source code is available at https://github.com/albahnsen/CostSensitiveClassification