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Multi-dimensional comparison of model performance on Dataset 1. Classification accuracy (y-axis) is plotted against the number of trainable parameters (x-axis, log scale). The size of each bubble denotes the inference time of the model. Larger bubble means higher inference time and vice versa. * denotes the highest classification accuracy model.
