<ul><li>ADA (Anchor Data Augmentation) is compared to C-Mixup for data augmentation on the California and Boston housing datasets.</li><li>ADA is shown to be superior to C-Mixup in the experimental setup for data augmentation.</li><li>The experiments involve using ridge regression and MLP models with varying number of hidden units.</li><li>Performance of ADA and C-Mixup approaches are compared, with ADA showing better performance in low training sample scenarios.</li></ul>

ADA vs C-Mixup: Performance on California and Boston Housing Datasets

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