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Hello Developer,
I am currently using the database available at http://ftp.tue.mpg.de/ebio/projects/struo2/GTDB_release207/kraken2/ for my analysis with Kraken2, and I've found it quite straightfor…
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**### Title: Model Evaluation and Comparison for Loan Prediction**
**Description:**
This issue pertains to the implementation and evaluation of various machine learning models for predicting loa…
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**Describe the bug**
The bug was found when I ran https://github.com/sktime/sktime/blob/main/sktime/classification/distance_based/tests/test_time_series_neighbors.py#L127-L147
If setting `algorith…
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do you have code for unbalanced data decision tree classification ?
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- [ ] [GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data | OpenReview](https://openreview.net/forum?id=XEFWBxi075)
# GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data
## …
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Instead of printing the argmax predicted class name at each leaf for classification trees, allow the user to show the numeric value, i.e. weight, of the leaf as is done for regression trees. We may wa…
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A site for the Maven plugin should be published to github.io similar to https://netcentric.github.io/aem-classification/ for https://github.com/Netcentric/aem-classification/tree/master/aem-classifica…
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我看這篇也是https://github.com/Intelligent-Computing-Lab-Yale/NDA_SNN/tree/main?tab=readme-ov-file這樣做，而且他是在目前cifar10 dvs classification榜上最高的，但她也只做了data augmentation而已，架構也是vgg，我跑出來的準確度也差不多70幾趴而已，順帶一題想問你有跑過他的…
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Using a google-research product
https://github.com/google-research/chirp/tree/main/chirp/birb_sep_paper#separation
the approach looks like
- load both the separation model and the classification…
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Problem Description:
The aim is to develop a robust spam email detection model that can accurately classify emails as spam or not spam. With the increasing volume of email communication, distinguis…