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A data scientist is carrying out hyperparameter optimization using an iterative optimization algorithm. Each assessment of unique hyperparameter values is being trained on a distinct compute node. They are conducting eight evaluations in total on eight compute nodes. Although the accuracy of the model varies across the eight evaluations, they observe that there's no consistent pattern of enhancement in the accuracy.What modifications could the data scientist make to enhance their model's accuracy throughout the tuning process? Choose only ONE best answer.