Table 2 Numbers of incorrect assignment (Mean (SE) over 50 replications) in different breeds by different machine learning methods with reference population size of 30 individuals per breed and 2,000 most breed-informative SNPs revealed by DFI
Breed | No anim | Machine learning | ||||
|---|---|---|---|---|---|---|
ANN | KNN | NB | RF | SVM | ||
NMD | 1 | 0.10 (0.10) | 0.00 | 0.00 | 0.00 | 0.00 |
YKT | 1 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
GEL | 3 | 0.20 (0.05) | 0.00 | 0.00 | 0.00 | 0.00 |
LIM | 9 | 0.30 (0.07) | 0.00 | 0.00 | 0.00 | 0.00 |
MBL | 25 | 0.30 (0.13) | 0.00 | 0.00 | 0.00 | 0.00 |
HF | 37 | 0.40 (0.17) | 0.00 | 0.00 | 0.00 | 0.00 |
NWR | 48 | 1.40 (0.16) | 0.00 | 0.00 | 0.00 | 0.00 |
CHA | 42 | 1.80 (0.23) | 0.00 | 0.00 | 0.04 (0.03) | 0.00 |
SIM | 53 | 3.60 (0.44) | 1.00 (0.00) | 1.00 (0.00) | 0.06 (0.03) | 0.00 |
BS | 90 | 6.20 (0.30) | 0.00 | 13.00 (0.00) | 4.00 (0.17) | 12.00 (0.00) |
JER | 97 | 0.20 (0.06) | 0.00 | 0.00 | 0.00 | 0.00 |
ANG | 129 | 0.80 (0.17) | 0.00 | 2.00 (0.00) | 1.02 (0.02) | 1.00 (0.00) |
HOL | 170 | 3.10 (0.32) | 0.00 | 1.00 (0.00) | 0.24 (0.06) | 0.00 |
Total | 705 | 18.40 (0.49) | 1.00 (0.00) | 17.00 (0.00) | 5.36 (0.18) | 13.00 (0.00) |