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. Author manuscript; available in PMC: 2018 Jan 1.
Published in final edited form as: Artif Intell Med. 2016 Nov 5;75:1–15. doi: 10.1016/j.artmed.2016.10.003

Table 2.

Number of datasets correctly predicted for the complex network models by case size (bolded values indicated highest score in each case size)

Learning method 300 cases 600 cases 1200 cases 2400 cases 4800 cases 9600 cases Total
FGSsmp2 stp2 0 74 192 338 435 513 1552
DCLα=15 58 120 187 256 369 512 1502
FGSsmp1 stp2 0 52 169 319 425 491 1456
CPCβ=0.2 7 47 111 284 440 545 1434
FGSsmp2 stp1 0 14 160 318 424 497 1413
CPCβ=0.1 0 20 87 242 443 594 1386
DCLα=54 41 84 133 214 379 531 1382
DCLα=9 35 98 172 236 335 490 1366
FGSsmp1 stp1 0 11 140 298 417 479 1345
CPCβ=0.05 0 12 58 180 404 579 1233
DCLα=1 5 34 112 178 243 373 945
DCLα=108 24 56 90 136 239 375 920
CPCβ=0.01 0 0 22 92 268 512 894
PCβ=0.2 0 0 0 0 0 13 13
PCβ=0.1 0 0 0 0 0 12 12
FCIβ=0.2 0 0 0 0 0 10 10
FCIβ=0.1 0 0 0 0 0 9 9
FCIβ=0.01 0 0 0 0 0 0 0
FCIβ=0.05 0 0 0 0 0 0 0
PCβ=0.01 0 0 0 0 0 0 0
PCβ=0.05 0 0 0 0 0 0 0