In recent articles about classifier quality we have focused on the overall statistical results. For this we have used either the precision-recall graph or the inverted precision graph. While these are very good tools to predict the overall quality of a classification scheme and hence the gain in productivity to be expected – they do not reveal where and why … Continue reading What is a good classifier? (3/4)