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The `fix_imbalance_method` does not support `Pipeline` class from `imblearn` package to apply more than one method for fix imbalance.
Does it make sense to apply more the one method of oversampling a…
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Hi,
I have a multi-label dataset with extremely imbalanced classes, are there any developed methods in scikit-multilearn working well on this imbalanced data? thanks.
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### Deep Learning for Imbalance Classificaition
#### Survey
1. [A systematic study of the class imbalance problem in convolutional neural networks
Cost-Sensitive](https://arxiv.org/pdf/1710.05381.p…
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scikit-learn implementation of train test split (sklearn.model_selection.train_test_split) supports splitting data according to class labels (stratified split) by using the argument `stratify`. This i…
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* We can try scraping data from AppStore using [itunes-app-scraper](https://github.com/digitalmethodsinitiative/itunes-app-scraper). No authentication required. Maybe better than official API, but the…
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Hello, I am trying to vary the proportion parameter in the MulticlassOversampling class:
#### I tried passing passing through the declaration of an instance of the class, but when executing it it had…
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The summarize function of COCOEval does not take into account class imbalances. In other words, it takes the mean of precision and recalls across categories rather than taking a weighted average based…
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### Search before asking
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### Search before asking
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