engleski

Survey of the dataset meta-features

Machine learning is an active area of research and has seen the development of many algorithms. Machine learning practitioners at different levels frequently face a similar problem: What algorithm best suits their data? Recent meta-learning research automates this procedure using a meta- classifier to predict the best algorithm for a given dataset. Meta-features are used to describe the properties and characteristics of datasets and construct the feature space for meta-learning. In this paper, we performed a literature survey to recognize meta-features that should be taken into account when providing meta-learning research and identify directions for further research in this area.

Meta-learning, meta-features, dataset characteristics, machine learning

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