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A cfg parameter called "counters_per_class" exists for Object Detection to tackle imbalanced data. Is it possible to add this feature for classification purposes?
And if not, could you guide me on ho…
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### **Data Cleaning and Exploration:**
**Dropping Rows (23, 24, 26, 27):** It would be helpful to understand the rationale behind dropping these specific rows before Exploratory Data Analysis (EDA)…
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# 概要
- データの正負は imbalance であり、何らかの処理を行わないと学習がちゃんと進まない。
# Ref
- https://www.kaggle.com/code/shahules/tackling-class-imbalance
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Great resource: https://reproducible.cs.princeton.edu/
Really ties into preprocessing before data splitting and dealing with class imbalance!
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### Discussed in https://github.com/kogalur/randomForestSRC/discussions/287
Originally posted by **Jiangnan-Lyu** July 6, 2022
How do I extract the average split depth for each variable of ea…
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--- for deepmoji, vary proportion of positive/negative, and the proportion of protected attributes as well (2 variables)
--- for biography, lets keep the data as it is, the class imbalance and gender…
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Hello~I have a question that's been bothering me for half a month now; I'd like to seek your advice on it. Why is it that when I use MEL images with hair removal and a size of 256x256 for StyleGAN3 tr…
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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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Just wondering why Dexined uses sigmoid-CE balanced loss instead of Dice, Focal, etc?
I thought since most pixels in images correspond to the background and not the edges of objects, this would be…
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My own dataset is very imbalanced, and I achieved superior results using:
```
weight_for_positive_class = 5
pos_weight = torch.tensor([weight_for_positive_class])
self.crit…