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Running
Method,sim_sparse_MF_correlation,sim_sparse_MF_pvalue,sim_sparse_CC_correlation,sim_sparse_CC_pvalue,sim_sparse_BP_correlation,sim_sparse_BP_pvalue,sim_sparse_Ave_correlation,sim_sparse_Ave_pvalue,sim_200_MF_correlation,sim_200_MF_pvalue,sim_200_CC_correlation,sim_200_CC_pvalue,sim_200_BP_correlation,sim_200_BP_pvalue,sim_200_Ave_correlation,sim_200_Ave_pvalue,sim_500_MF_correlation,sim_500_MF_pvalue,sim_500_CC_correlation,sim_500_CC_pvalue,sim_500_BP_correlation,sim_500_BP_pvalue,sim_500_Ave_correlation,sim_500_Ave_pvalue,func_MF_accuracy,func_MF_F1,func_MF_precision,func_MF_recall,func_BP_accuracy,func_BP_F1,func_BP_precision,func_BP_recall,func_CC_accuracy,func_CC_F1,func_CC_precision,func_CC_recall,func_Ave_accuracy,func_Ave_F1,func_Ave_precision,func_Ave_recall,fam_nc_f1_ave,fam_nc_accuracy_ave,fam_nc_mcc_ave,fam_uc30_f1_ave,fam_uc30_accuracy_ave,fam_uc30_mcc_ave,fam_uc50_f1_ave,fam_uc50_accuracy_ave,fam_uc50_mcc_ave,fam_mm15_f1_ave,fam_mm15_accuracy_ave,fam_mm15_mcc_ave,aff_mse_ave,aff_mae_ave,aff_correlation_ave,aff_corr_ave | |
AAC,-0.0120530487301072,0.8508071436536463,0.0912116785938685,0.1546329908435944,0.2141018739428611,0.0007061795748057,0.0977535012688741,0.3353821046906821,,,,,,,,,,,,,,,,,0.38811625,0.40974125,0.48670125,0.44299625,0.1610855555555555,0.1871955555555555,0.3224533333333333,0.1976033333333333,0.23935375,0.2321862499999999,0.28292625,0.28193,0.2628518518518519,0.2763743518518518,0.3640269444444444,0.3075098611111111,0.6177614082729195,0.6013157894736842,0.4606947935048476,0.5459172168856171,0.5507894736842106,0.435043370218602,0.5577992609356077,0.5505263157894736,0.4353902864419046,0.5867883717548554,0.5675,0.4166540424379349,1.8478,10.5931,,0.4605 | |
APAAC,0.1716732195001037,0.0069560423057116,0.240874262539882,0.0001405462274193,0.2735843497262189,1.2923220610249705e-05,0.2287106105887349,0.002369837251247,,,,,,,,,,,,,,,,,0.4710162499999999,0.58284625,0.6744487499999999,0.5989212500000001,0.2238755555555555,0.3446611111111111,0.4229877777777777,0.4093011111111111,0.23963375,0.3952687499999999,0.4524837499999999,0.4603225,0.3115085185185185,0.4409253703703704,0.5166400925925926,0.4895149537037038,0.4636105548979638,0.4722368421052632,0.3555982464503002,0.2315046916218918,0.2660526315789474,0.2398228957685004,0.3843445897441822,0.3888157894736842,0.2965145907648027,0.3778872642431113,0.3853947368421052,0.2878924170121025,1.7901,10.2267,,0.4772 | |
LEARNED-VEC,0.4099830116701563,2.1689966436784665e-11,0.3051938408310146,1.120065867436256e-06,0.2987112063885428,1.7495423111940671e-06,0.3379626862965713,9.565432895322534e-07,,,,,,,,,,,,,,,,,0.58578125,0.6755412500000001,0.7205037500000001,0.68219125,0.3066433333333334,0.3916688888888888,0.4773933333333333,0.3869822222222221,0.3161575,0.40893125,0.4695275,0.42211375,0.4028606944444444,0.4920471296296296,0.5558081944444445,0.4970957407407407,0.6879461133596474,0.6753947368421053,0.5398386011440388,0.6814159713015187,0.6705263157894737,0.5322722813297631,0.6921269746305978,0.6817105263157894,0.5386674018587029,0.6563782045393618,0.6365789473684211,0.4872940347931381,1.1848,8.1308,,0.7034 | |