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"Good datasets for testing algorithm performance"
I'm creating a genetic algorithm that can do both regression and classification.
I'm comparing the algorithm against neural networks, tree learners, and nearest neighbor methods.
What are good datasets to compare on?
I'm currently browsing the UCI repository, but choices are endless.
Is there some default benchmark new algorithms are tested against?