Table 1.
Method | Blue-eyes | Brown-eyes | Population | Metric | SNPs |
---|---|---|---|---|---|
Multinomiallogistic regression | 0.91 | 0.93 | Dutch Europeans [20] | AUC | 24 |
Multinomial logistic regression | – | 0.93 | Saudi population [21] | AUC | 5 |
IrisPlex model | 0.96 | 0.96 | Dutch Europeans [11] | AUC | – |
IrisPlex model | 0.79 | 0.91 | Iraqi population [22] | AUC | 6 |
Multinomial regression | 0.966 | 0.913 | Slovenian population [23] | AUC | 6 |
Decision tree models | 0.89 | 0.94 | New Zealand population [24] | Accuracy | 6 |
IrisPlex | 0.95 | 0.58 | United States population [25] | Accuracy | 6 |
“–” means no data found for that cell. The last column shows the number of SNPs considered for classification. The second and third column represents the result for Blue eyes and Brown eyes respectively