Machine learning tools are not completely accurate, and a few uncertainty or bias can exist Subsequently. Biases are imbalances from the training data or prediction behavior of the model across diverse groups, such as age or profits bracket.Due to developments in massive data along with the Internet of Things (IoT), data sets are larger than ever.