AdaCost, a variant of AdaBoost, is a misclassification cost-sensitive boosting method. It uses the cost of misclassications to update the training distribution on successive boosting rounds. The purpose is to reduce the cumulative misclassification cost more than AdaBoost.

Full manuscript - https://pdfs.semanticscholar.org/9ddf/bc2cc5c1b13b80a1a487b9caa57e80edd863.pdf

To install package dependencies run:

> pip install -r requirements.txt

To install the adacost package run:

> python setup.py install