Bias in machine learning is a type of error which occurs when an ML model’s estimations are different than the ground truth, i.e what is known (and validated) to be correct.

ground truth

Ground truth is a term commonly used in statistics and machine learning. It signifies the correct or “true” answer to a specific problem or question. Each ML model makes predictions to values or boolean classifications about a problem. Each time the ML model’s prediction or classification is compared to the ground truth, which is what … Read more