A new public benchmark dataset of 6,916 first-grade students supports a masked MLP pre-training method that achieves the best accuracy and AUC for predicting reading progress among the compared models.
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Scalable Early Childhood Reading Performance Prediction
A new public benchmark dataset of 6,916 first-grade students supports a masked MLP pre-training method that achieves the best accuracy and AUC for predicting reading progress among the compared models.