Titlebook: Letters to the Editor; Comparative and Hist Allison Cavanagh,John Steel Book 2019 The Editor(s) (if applicable) and The Author(s) 2019 edit

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Jane L. Chapmanroved when classifiers learn these correlations. On the other hand, some works also argue that the multi-label classification methods cannot explore label correlations. The traditional multi-label local approach uses only information from individual labels, which makes it impractical to find relatio

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Andrew Hobbsroved when classifiers learn these correlations. On the other hand, some works also argue that the multi-label classification methods cannot explore label correlations. The traditional multi-label local approach uses only information from individual labels, which makes it impractical to find relatio

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Todd Graham,Daniel Jackson,Scott Wrighte of problems with accurate predictions. However, in certain cases, accuracy alone may not be sufficient. Many real-world problems also demand explanations and interpretability behind the predictions. One of the most popular interpretable models that are classification rules. This work aims to propo