Let us not get confused. > core to being a human, for better or worse That is not a free pass. > not accurate to make generalizations Making generalizations

Let us not get confused. > core to being a human, for better or worse That is not a free pass. > not accurate to make generalizations Making generalizations (description - when correct - of average, median, "mode"/type) is "accurate" by definition for the population, and incredibly stupid to describe individuals. From notes: Accuracy: correct results Sensitivity: identified positives (True Positive Rate) Specificity: identified negatives (True Negative Rate) Precision: correct positive results (Positive Predictive Value) Miss Rate: correct negative results (False Negative Rate) False Discovery Rate: incorrect positive results False Omission rate: incorrect negative results