Machine learning models deployed today — as will many more in the future — impact people and society directly. With that power and influence resting in the hands of Data Scientists and machine learning engineers, taking the time to evaluate and understand if model results are fair will become the linchpin for the future success of AI/ML solutions. These are critical considerations, and using a recently developed fairness module in the dalex Python package is a unified and accessible way to ensure your models remain fair.
Originally from KDnuggets https://ift.tt/38EnHrc
source https://365datascience.weebly.com/the-best-data-science-blog-2020/how-to-easily-check-if-your-machine-learning-model-is-fair
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