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.txtTo install the adacost package run:
> python setup.py install