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. 2024 Jul 5;14:15505. doi: 10.1038/s41598-024-66083-0

Table 2.

GEP models implemented for formulation of Ω2.

GEP parameters Results
No. No. of test datasets Linking function No. of chromosomes Head size Genes' number RMSE for train datasets RMSE for test datasets R2 for train datasets R2 for test datasets
1 16  +  12 10 3 1.6537 1.5704 0.7334 0.7510
2 16  ×  12 10 3 1.0423 7.2033 0.8943 0.4803
3 17  +  16 12 5 1.2837 2.9813 0.8495 0.5826
4 17  ×  16 12 5 0.6100 2.7332 0.9634 0.3943
5 18  +  20 14 6 1.0736 1.6420 0.8987 0.7538
6 18  +  20 14 7 0.9494 2.3725 0.9114 0.6582
7 18  ×  20 14 7 1.6790 2.0624 0.7379 0.6308
8 19  +  26 16 4 1.1151 2.2205 0.8835 0.5639
9 19  +  26 16 6 1.2882 1.7167 0.8369 0.7425
10 19  +  32 16 8 1.0141 4.0280 0.9022 0.5386
11 19  ×  26 16 6 0.9926 3.2393 0.9234 0.4492
12 19  ×  32 16 8 1.3855 1.7350 0.8096 0.7374
13 20  +  36 18 6 0.8760 0.9665 0.9152 0.9078
14 20  +  40 18 6 0.6549 0.6849 0.9618 0.9507
15 20  ×  36 18 6 0.8287 1.1516 0.9256 0.9076
16 20  ×  40 18 6 1.0576 0.7232 0.9093 0.9478
17 21  +  44 20 8 1.0122 0.8581 0.9009 0.9269
18 21  +  48 22 8 0.7930 0.8737 0.9312 0.9375
19 21  ×  48 22 8 0.9149 1.2908 0.9468 0.8372
20 22  +  40 18 6 0.6948 0.7106 0.9479 0.9499
21 22  +  44 20 8 0.8947 1.7590 0.9107 0.7040
22 22  ×  44 20 8 1.0840 1.6828 0.8133 0.6727
23 23  +  40 18 6 1.1041 1.8122 0.8633 0.6846
24 23  ×  40 18 6 1.4955 1.9729 0.7415 0.6232
25 24  +  40 18 6 1.9677 2.1566 0.6434 0.5638