Classifying wine according to their grade,price,and region of origin is a multi-label and multi-target problem in wineinformatics.Using wine reviews as the attributes,we compare several different multi-label/multitarg...Classifying wine according to their grade,price,and region of origin is a multi-label and multi-target problem in wineinformatics.Using wine reviews as the attributes,we compare several different multi-label/multitarget methods to the single-label method where each label is treated independently.We explore both single-label and multi-label approaches for a two-class problem for each of the labels and we explore both single-label and multi-target approaches for a four-class problem on two of the three labels,with the third label remaining a twoclass problem.In terms of per-label accuracy,the single-label method has the best performance,although some multi-label methods approach the performance of single-label.However,multi-label/multi-target metrics approaches do exceed the performance of the single-label method.展开更多
文摘Classifying wine according to their grade,price,and region of origin is a multi-label and multi-target problem in wineinformatics.Using wine reviews as the attributes,we compare several different multi-label/multitarget methods to the single-label method where each label is treated independently.We explore both single-label and multi-label approaches for a two-class problem for each of the labels and we explore both single-label and multi-target approaches for a four-class problem on two of the three labels,with the third label remaining a twoclass problem.In terms of per-label accuracy,the single-label method has the best performance,although some multi-label methods approach the performance of single-label.However,multi-label/multi-target metrics approaches do exceed the performance of the single-label method.
