sklearn-benchmarks
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A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
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What would be the easiest way / best starting point to test a new classifier using the same testing procedure/datasets as in the paper?
I think the pmlb dataset compilation is really cool, but as far as benchmarking goes, it would be really great if for every dataset the best possible results would be...
Hi Randy, So, I assume this is where you would like to coordinate further development for model comparison?.. Are you still considering inclusion of feature selection methods? Pradeep