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Rethnicity: Predicting Ethnicity from Names
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In this study, a new R package, \texttt{rethnicity} is provided for predicting ethnicity based on names. The Bidirectional LSTM and Florida Voter Registration were used as the model and training data, respectively. Special care was given for the accuracy of minority groups, by adjusting the imbalance in the dataset. The models were trained and exported to C++ and then integrated with R using Rcpp. Additionally, the availability, accuracy, and performance of the package were compared with other solutions.
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Cited by 2 Pith papers
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A name-plus-geography LSTM with an XGBoost filter is reported to improve race imputation accuracy and to sharply reduce the rate at which non-White individuals are predicted as White compared with BISG, though the hea...
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