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Need to deal with the major in-balance in the size of the two classes (bga and non_algae).
Below are some good links that describe the importance of making sure the classes are balanced in size an…
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Hi All,
I defined a "bad wine" if it had a quality score less than 5, 'good wine' if greater than 5 but less than 7, and the rest would be considered as "Excellent"
The red_wine and white_wine d…
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Hi,
Thank you for this implementation. It is my understanding that some contrastive frameworks build upon entropy maximization, which leads to inapplicability in the contexts of imbalanced datasets…
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Imbalanced package
imbalanced-learn documentation
https://github.com/scikit-learn-contrib/imbalanced-learn
https://imbalanced-learn.org/stable/
2022/04
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Hi,
Thanks for the code. How are you dealing with class imbalance problem. There will be vastly more gloss sentence pair that have label 0 then that have label 1.
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Dear Author, I appreciate your work, but i have some questions about the data imbalance. The face number with glasses is only 1377 as the numbe without glasses is 25622. I want to known the effects o…
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@yjh0410,
My dataset is highly imbalanced. The class count in the training dataset (2700 samples) is as follows:
`{'1': 306, '2': 60, '3': 133, '4': 14197, '6': 3886, '7': 69}`
The key is the cla…
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# max_delta_step
https://xgboost.readthedocs.io/en/latest/tutorials/param_tuning.html
https://xgboost.readthedocs.io/en/latest/parameter.html
.
For instance, giv…