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Learning Abstract Task Representations
A proper form of data characterization can guide the process of learning-algorithm selection and model-performance estimation.
Characterizing classification datasets: a study of meta-features for meta-learning
These characterizations, also called meta-features, describe properties of the data which are predictive for the performance of machine learning algorithms trained on them.
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