Walle
Created page with "{{see also|Machine learning terms}} ==Definition== Prediction bias refers to a systematic error in a machine learning model's predictions, where the model consistently over- or under-estimates the true value of the target variable. This phenomenon occurs when the model's predictions exhibit a persistent deviation from the actual values, leading to inaccurate and unreliable results. The presence of prediction bias can significantly impair a model's generalization capabili..."