From: Modelling biochemical networks with intrinsic time delays: a hybrid semi-parametric approach
NN | Nlag | τ | BIC | MSE | NN | Nlag | τ | BIC | MSE | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
train | valid | test | train | valid | test | train | valid | test | train | valid | test | ||||||
3 | 0 | 0 | -18561 | -5147 | -5000 | 0.0155 | 0.0187 | 0.0157 | 6 | 0 | 0 | -18500 | -5199 | -5030 | 0.0148 | 0.0187 | 0.0154 |
4 | 0 | 0 | -18514 | -5164 | -4994 | 0.0155 | 0.0187 | 0.0150 | 7 | 0 | 0 | -18576 | -5197 | -4990 | 0.0153 | 0.0180 | 0.0144 |
5 | 0 | 0 | -18531 | -5186 | -5011 | 0.0151 | 0.0189 | 0.0153 | 8 | 0 | 0 | -18430 | -5211 | -5053 | 0.0146 | 0.0182 | 0.0158 |
2 | 1 | 2 | -17144 | -4697 | -4475 | 0.0086 | 0.0098 | 0.0065 | 2 | 1 | 2.5 | -16343 | -4293 | -4331 | 0.0077 | 0.0076 | 0.0067 |
3 | 1 | 2 | -16981 | -4588 | -4470 | 0.0085 | 0.0108 | 0.0067 | 3 | 1 | 2.5 | -17230 | -4725 | -4584 | 0.0186 | 0.0327 | 0.0183 |
4 | 1 | 2 | -16877 | -4581 | -4484 | 0.0087 | 0.0117 | 0.0072 | 4 | 1 | 2.5 | -16635 | -4506 | -4690 | 0.0154 | 0.0220 | 0.0170 |
5 | 1 | 2 | -16792 | -4544 | -4490 | 0.0078 | 0.0093 | 0.0064 | 5 | 1 | 2.5 | -16927 | -4614 | -4524 | 0.0086 | 0.0111 | 0.0072 |
6 | 1 | 2 | -16911 | -4643 | -4544 | 0.0087 | 0.0119 | 0.0073 | 6 | 1 | 2.5 | -16944 | -4523 | -4488 | 0.0082 | 0.0092 | 0.0066 |
7 | 1 | 2 | -17197 | -4632 | -4505 | 0.0097 | 0.0151 | 0.0084 | 7 | 1 | 2.5 | -17044 | -4742 | -4608 | 0.0082 | 0.0107 | 0.0075 |
8 | 1 | 2 | -17181 | -4530 | -4496 | 0.0123 | 0.0155 | 0.0105 | 8 | 1 | 2.5 | -16976 | -4694 | -4608 | 0.0084 | 0.0110 | 0.0076 |
2 | 2 | 2 | -16466 | -4512 | -4525 | 0.0067 | 0.0079 | 0.0067 | 2 | 2 | 2.5 | -17813 | -4833 | -4759 | 0.0130 | 0.0152 | 0.0129 |
3 | 2 | 2 | -16856 | -4656 | -4535 | 0.0081 | 0.0116 | 0.0073 | 3 | 2 | 2.5 | -16637 | -4684 | -4595 | 0.0079 | 0.0123 | 0.0079 |
4 | 2 | 2 | -16788 | -4616 | -4525 | 0.0079 | 0.0111 | 0.0072 | 4 | 2 | 2.5 | -16703 | -4507 | -4517 | 0.0073 | 0.0083 | 0.0064 |
5 | 2 | 2 | -16734 | -4430 | -4446 | 0.0075 | 0.0088 | 0.0061 | 5 | 2 | 2.5 | -16384 | -4327 | -4404 | 0.0068 | 0.0074 | 0.0063 |
6 | 2 | 2 | -16573 | -4271 | -4353 | 0.0077 | 0.0081 | 0.0065 | 6 | 2 | 2.5 | -16601 | -4400 | -4432 | 0.0071 | 0.0079 | 0.0062 |
7 | 2 | 2 | -16704 | -4569 | -4541 | 0.0071 | 0.0089 | 0.0065 | 7 | 2 | 2.5 | -16569 | -4405 | -4466 | 0.0068 | 0.0072 | 0.0061 |
8 | 2 | 2 | -16921 | -4728 | -4632 | 0.0082 | 0.0132 | 0.0079 | 8 | 2 | 2.5 | -16833 | -4790 | -4664 | 0.0080 | 0.0127 | 0.0079 |
2 | 3 | 2 | -19006 | -5136 | -5080 | 0.0181 | 0.0177 | 0.0158 | 2 | 3 | 2.5 | -16619 | -4566 | -4514 | 0.0077 | 0.0099 | 0.0071 |
3 | 3 | 2 | -16811 | -4692 | -4549 | 0.0078 | 0.0119 | 0.0073 | 3 | 3 | 2.5 | -16037 | -4218 | -4259 | 0.0064 | 0.0072 | 0.0058 |
4 | 3 | 2 | -16737 | -4474 | -4466 | 0.0069 | 0.0089 | 0.0063 | 4 | 3 | 2.5 | -16439 | -4224 | -4287 | 0.0068 | 0.0078 | 0.0057 |
5 | 3 | 2 | -16519 | -4357 | -4408 | 0.0066 | 0.0076 | 0.0058 | 5 | 3 | 2.5 | -16199 | -4358 | -4295 | 0.0063 | 0.0076 | 0.0056 |
6 | 3 | 2 | -16832 | -4506 | -4415 | 0.0090 | 0.0107 | 0.0078 | 6 | 3 | 2.5 | -16604 | -4577 | -4556 | 0.0072 | 0.0094 | 0.0067 |
7 | 3 | 2 | -16565 | -4385 | -4439 | 0.0066 | 0.0072 | 0.0058 | 7 | 3 | 2.5 | -16344 | -4475 | -4432 | 0.0064 | 0.0078 | 0.0060 |
8 | 3 | 2 | -16758 | -4672 | -4569 | 0.0079 | 0.0117 | 0.0069 | 8 | 3 | 2.5 | -16471 | -4374 | -4505 | 0.0066 | 0.0069 | 0.0061 |
2 | 4 | 2 | -16655 | -4365 | -4504 | 0.0071 | 0.0107 | 0.0077 | 2 | 4 | 2.5 | -16562 | -4532 | -4503 | 0.0079 | 0.0097 | 0.0073 |
3 | 4 | 2 | -16377 | -4301 | -4431 | 0.0067 | 0.0078 | 0.0064 | 3 | 4 | 2.5 | -16325 | -4471 | -4470 | 0.0072 | 0.0086 | 0.0066 |
4 | 4 | 2 | -16215 | -4183 | -4316 | 0.0062 | 0.0067 | 0.0057 | 4 | 4 | 2.5 | -16261 | -4189 | -4281 | 0.0064 | 0.0068 | 0.0058 |
5 | 4 | 2 | -16611 | -4481 | -4484 | 0.0070 | 0.0101 | 0.0066 | 5 | 4 | 2.5 | -15954 | -4190 | -4255 | 0.0056 | 0.0060 | 0.0052 |
6 | 4 | 2 | -17503 | -4762 | -4597 | 0.0189 | 0.0374 | 0.0197 | 6 | 4 | 2.5 | -16439 | -4334 | -4476 | 0.0064 | 0.0073 | 0.0060 |
7 | 4 | 2 | -25835 | -7171 | -7226 | 10.160 | 9.2368 | 11.843 | 7 | 4 | 2.5 | -25949 | -7288 | -7280 | 13.781 | 19.040 | 17.824 |
8 | 4 | 2 | -16256 | -4328 | -4369 | 0.0058 | 0.0061 | 0.0052 | 8 | 4 | 2.5 | -16296 | -4326 | -4381 | 0.0061 | 0.0065 | 0.0054 |