👉 Biasnesses are terms used in statistics and machine learning to describe a phenomenon where one group of data tends to be more likely to produce certain outcomes than another, even if there is no direct causal relationship between these groups. Bias occurs when an algorithm or model learns patterns or characteristics that favor certain samples over others, leading to inaccurate predictions. Biasnesses can be either positive or negative, depending on how the bias is measured and interpreted. Positive biases are those which reflect a bias towards outcomes that have
