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README.md
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- `"label"` — ternary class indicator (0 = CEU, 1 = AFR, 2 = EAS)
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### 6. Additional information
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The XGBoost model here used only training and test sets. The reserved validation set is available for algorithms requiring it, such as Multilayer Perceptron(MLP)
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- `"label"` — ternary class indicator (0 = CEU, 1 = AFR, 2 = EAS)
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### 6. Additional information
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The XGBoost model here used only training and test sets. The reserved validation set is available for algorithms requiring it, such as Multilayer Perceptron(MLP).
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