Table 5 Maize datasets
From: Genome-enabled prediction using probabilistic neural network classifiers
Upper class | ||||||||
MLP15% | PNN15% | MLP30% | PNN30% | |||||
GY-HI | 0.235 | (0.126) | 0.306 | (0.118) | 0.429 | (0.108) | 0.509 | (0.102) |
GY-LO | 0.168 | (0.065) | 0.188 | (0.076) | 0.358 | (0.107) | 0.408 | (0.107) |
GY-SS | 0.199 | (0.093) | 0.204 | (0.110) | 0.363 | (0.111) | 0.453 | (0.119) |
GY-WW | 0.239 | (0.131) | 0.382 | (0.175) | 0.410 | (0.117) | 0.477 | (0.111) |
Middle class | ||||||||
MLP40% | PNN40% | MLP70% | PNN70% | |||||
ASI-SS | 0.465 | (0.096) | 0.495 | (0.092) | 0.724 | (0.076) | 0.746 | (0.074) |
ASI-WW | 0.436 | (0.091) | 0.481 | (0.088) | 0.706 | (0.072) | 0.722 | (0.084) |
Lower class | ||||||||
MLP15% | PNN15% | MLP30% | PNN30% | |||||
FFL-SS | 0.185 | (0.087) | 0.288 | (0.137) | 0.383 | (0.106) | 0.465 | (0.096) |
MFL-SS | 0.205 | (0.101) | 0.343 | (0.149) | 0.421 | (0.119) | 0.499 | (0.112) |
FFL-WW | 0.197 | (0.102) | 0.298 | (0.161) | 0.413 | (0.120) | 0.506 | (0.133) |
MFL-WW | 0.199 | (0.094) | 0.288 | (0.155) | 0.437 | (0.133) | 0.516 | (0.139) |
GLS-1 | 0.269 | (0.096) | 0.338 | (0.135) | 0.476 | (0.096) | 0.526 | (0.092) |
GLS-2 | 0.320 | (0.140) | 0.447 | (0.157) | 0.524 | (0.101) | 0.642 | (0.093) |
GLS-3 | 0.372 | (0.138) | 0.456 | (0.149) | 0.496 | (0.128) | 0.589 | (0.116) |
GLS-4 | 0.350 | (0.135) | 0.487 | (0.147) | 0.439 | (0.110) | 0.512 | (0.111) |
GLS-5 | 0.161 | (0.072) | 0.208 | (0.107) | 0.429 | (0.098) | 0.538 | (0.118) |
GLS-6 | 0.320 | (0.091) | 0.400 | (0.109) | 0.431 | (0.094) | 0.491 | (0.098) |