Influence of feature encoding and machine learning algorithms on ancestry inference using autosomal STR profiles: A simulation approach using Asian populations.

Abstract excerpt

Biogeographic ancestry inference provides valuable insights into forensic science for identifying unknown remains and analyzing trace evidence found at crime scenes, particularly when other useful information is lacking. In this study, we investigated the impact of two feature encoding strategies (raw allele values and one-hot encoding) and three machine learning algorithms (Random Forest (RF), XGBoost (XGB), and...

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