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IEEE/ICACT20260241 Slide.17        [Big Slide]	Oral Presentation
	At a slightly higher SNR of -12 dB, we see the accuracy metrics. The top performers in this test are the binary Gaussian kernel (BGK) with logistic learner classifiers and neural networks for classification, as well as Gaussian process regression (GPR) and neural network regression for regression tasks, all of which achieve around 94% accuracy. The generalized additive model, or GAM, is the weakest in this test.

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