The inductive bias (also known as learning bias) of a learning algorithm is the set of assumptions that the learner uses to predict outputs of given inputs that it has not encountered. … Then the learner is supposed to approximate the correct output, even for examples that have not been shown during training.

What is machine learning bias?

Machine learning bias, also sometimes called algorithm bias or AI bias, is a phenomenon that occurs when an algorithm produces results that are systemically prejudiced due to erroneous assumptions in the machine learning process.

What are the types of bias?

Three types of bias can be distinguished: information bias, selection bias, and confounding.