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I am checking a solution to prevent "fraudster" to create "store/ecommerces" to sell products as a fraud only.
Example:
Product: Stove brand Consul
Price: 100
Real price at normal shoppings: …
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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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A list of resources that may be useful for describing/understanding sampling/weighting methods for unbalanced data.
Feel free to add below new topics to search or resources to summarize, related to s…
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Hi,
How can the effect of each client on the global model be set? (in heterogeneous environment)
For example:
`weights = {"client1": 0.4, "client2": 0.3, "client3": 0.3}`
Thanks
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## 0. 論文
### タイトル
Striking the Right Balance with Uncertainty
### リンク
http://openaccess.thecvf.com/content_CVPR_2019/papers/Khan_Striking_the_Right_Balance_With_Uncertainty_CVPR_2019_paper.p…
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I have a highly skewed dataset. I was hoping that Tpot will make use of parameters like `class_weight` (in logistic regression) and `scale_pos_weight` (Xgboost) but it doesn't recognize the class dist…
Ak784 updated
3 years ago
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**What would you like to submit?** (put an 'x' inside the bracket that applies)
- [x] question
- [ ] bug report
- [ ] feature request
**Issue description**
Hi, I am using a SupportVec…
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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…
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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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Have a look at this [link](https://gridftp.tamucc.edu/fognet/datashare/archive/datasets/24HOURS/TARGET/). Does it look like a balanced training dataset to you? Not sure what VIS (visibility) unit is b…