Fig. 2: Performance of the models.
From: Benchmarking machine learning methods for synthetic lethality prediction in cancer
A–C are the performance of the model under \({{{{\rm{NSM}}}}}_{{{{\rm{Rand}}}}},\,{{{{\rm{NSM}}}}}_{{{{\rm{Exp}}}}}\) and NSMDep, respectively, where lighter colors indicate better performance. The figure contains five parts of information: a) A list of the 12 models. b) The overall scores of the models and the combined scores under the classification task and the ranking task only. c) and d) The performance of the models under the classification and ranking tasks, including six experimental scenarios consisting of 2 DSMs and 3 PNRs. e) The average time required for the models to complete one cross-validation.
