Abstract
Nowadays, processing streaming data is an interesting area to focus on where the performance of a model is determined by the adaptive model balance and performance results. On the other hand, such a model deals with a lot of challenges and issues in terms of stream multi-label classification. In this paper, we evaluate an adaptive multi-label stream model that works by using the adaptation of the multi-target regression analysis into multi-label classification by using the AMRule problem.