Complex ML algorithms (e.g., RF, NN, XGboost) have been claimed to present superior predictive discrimination compared to logistic regression technique18,19,20,21,22,23,24; nevertheless, the advantage of state of the art ML models over the conventional generalized linear models remains ...
22,23,24. Genomic risk prediction has a notable advantage over established risk factors as it could be used to infer risk of disease from birth, thus allowing the initiation of preventive strategies before conventional risk factors manifest and their discriminative capacity...
This also points out an advantage of block-BT combined with checkpoint averaging: the method automatically finds the optimal ratio of the two types of synthetic/authentic-trained models, as it evaluates all the ratios during training (Fig. 2a). The final CUBBITT system was trained using ...