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The validation accuracy starts to saturate after some time while the training accuracy continues to climb, indicating possible overfitting, where the model does well on training data but does not generalize well on any incoming unseen data

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The major sources of bias among serious and critical studies were due to selection bias, deviations from intended interventions, confounding and inappropriate methods to control for measured confounders

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