Walle
Created page with "{{see also|Machine learning terms}} ==Introduction== Reporting bias in machine learning refers to a systematic distortion of the information used to train and evaluate machine learning models. This distortion arises when the data being used to train a model is influenced by factors that are not representative of the true underlying phenomenon. These factors can lead to an overestimation or underestimation of certain model predictions, ultimately affecting the performance..."
