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Found 2 papers, 2 papers with code
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.
How Complex is your classification problem? A survey on measuring classification complexity
This paper surveys and analyzes measures which can be extracted from the training datasets in order to characterize the complexity of the respective classification problems.
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