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Meta-learning is a field that aims at discovering how different machine learning algorithms perform on a wide range of predictive tasks.
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Fisher, A., Rudin, C., Dominici, F.: All models are wrong, but many are useful: Learning a variable’s importance by studying an entire class of prediction models simultaneously. Journal of Machine Learning Research 20
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Biecek, P., Burzykowski, T.: Explanatory Model Analysis. Explore, Explain and Examine Predictive Models. CRC Press (2021), https://pbiecek.github.io/ema/
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Jomaa, H.S., Schmidt-Thieme, L., Grabocka, J.: Dataset2vec: Learning dataset meta-features. Data Mining and Knowledge Discovery 35
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