Fig. 5.

Bag level accuracy various algorithms in seven real-world datasets. The proposed AbSMIL method shows a competitive performance with other state-of-the-art methods for various datasets in our experiment. Especially for the case of TCGA dataset, the outstanding result of AbSMIL indicates that the symmetric MIL assumption and the cardinality constraint are more suitable to such settings. The results with EM-DD [31], MI Kernel [58], MILES [59], and MICA [60] are observed from [60] and [55].