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I am facing this error while running class_imbalance on XGboost
'RuleConfigurationName': 'ClassImbalance',
'RuleEvaluationStatus': 'Error',
'StatusDetails': 'ClientError: No debugging data wa…
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**Have you checked the [list of proposed tips](https://github.com/Benjamin-Lee/deep-rules/issues?q=is%3Aissue+is%3Aopen+label%3Atip) to see if the tip has already been proposed?**
- [x] Yes
**…
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## Description
Currently, ExplainableAI's LLM-powered explanations provide general insights into model predictions, which are helpful in most cases. However, there is a need for more tailored explana…
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Resources:
- https://docs.allennlp.org/models/main/models/tagging/models/crf_tagger/
- https://github.com/allenai/allennlp/issues/4619#issuecomment-1129278724
- https://eraldoluis.github.io/2022/05…
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### Describe the issue linked to the documentation
Hi guys,
In the "ROC curve using micro-averaged OvR" part of the doc (https://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html#r…
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Good afternoon! Great job, thank you very much for posting the markup! Please tell me how linear regressions were trained for the final aggregation? I looked at the distribution of classes 0-5 in the …
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### Describe the workflow you want to enable
In some cases, it is nice to compare a machine learning classifier with experimental data using ROC or Precision-Recall Curves. For (e.g.) a logarithmic r…
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I want to train Mask R-CNN with my dataset that have 4 classes.
Class A -> 3,000
Class B -> 26
Class C -> 8
Class D -> 4
Model always predict Class A because my data was imbalance
How can i f…
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Are there specific strategies in **keras** to deal with class imbalance in the training set? or any recommendations about models to be aware of when this is a problem? Many classification problems are…