Data Bias Detection in Machine Learning Using Various Statistical Measures

Abstract

The study discusses numerous statistical techniques for bias identification. The techniques are used with binary and multinomial dafigta. Artificial intelligence (AI) is a broad term referring to machines or computers that mimic human intelligence. Machine learning (ML), a subdomain of modern AI, creates rules based on training data. The Bias detection of data and model are essential in today’s scenarios. The mitigated data will give better prediction results. Good predictions help organizations to take better decisions.