- imbalanced-learn VS deodel
- imbalanced-learn VS general_class_balancer
- imbalanced-learn VS confidenceinterval
- imbalanced-learn VS zilean
- imbalanced-learn VS Aurora
- imbalanced-learn VS ydata-synthetic
- imbalanced-learn VS ydata-profiling
- imbalanced-learn VS scikit-learn
- imbalanced-learn VS sweetviz
- imbalanced-learn VS pandas-profiling
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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better imbalanced-learn alternative or higher similarity.
imbalanced-learn discussion
imbalanced-learn reviews and mentions
Posts with mentions or reviews of imbalanced-learn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-26.
- What’s your approach to highly imbalanced data sets?
There's a pletora of undersampling and oversampling models you can try out. To avoid removing information form the dataset, you can focus on oversampling techniques. You can try imbalanced-learn or smote-variants. Given enough data, using fully synthetic data is also an option, you can check ydata-synthetic for it. Let us know how it turned out!
Stats
Basic imbalanced-learn repo stats
1
7,070
6.9
4 months ago
scikit-learn-contrib/imbalanced-learn is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of imbalanced-learn is Python.
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