Table 1 Result of eye-color prediction using the already developed techniques for different population
From: Eye-color and Type-2 diabetes phenotype prediction from genotype data using deep learning methods
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 |