The whole project can be found herehttps://www.kaggle.com/code/aaaml007/cntr-mpeg-g-microbiome-classification-challengeVersion 45

-This was a very interesting and exciting challenge - huge thanks to @Zindi and the hosts led by @Nevenka for presenting such a research rich area. It was my fi... See more

https://github.com/dronny111/MPEG-G-Microbiome-Classification-Challenge-Team-Kmers-NNOur 2nd place NN solution that could not be reproduced, unfortunately!Don't... See more

koleshjr/MPEG-G-Microbiome-Classification-Challenge: Can you classify microbiome samples by body site and individual using compressed data?Leave a star if you f... See more

A few days left! What do you do if you already came up with an amazing solution? You can try a different method: build a data loader right from Genie. Why decom... See more

In this project, we worked with microbiome sequencing data stored in the MPEG-G format, which is a highly compressed genomic standard. The goal was to classify... See more

Apparently, it seems simple models trump sophisticated models in this competition. Well, at least from the majority of my submissions from logistic regression m... See more

Hi Everyone,As this competition is nearing the end, I'm curiouis to see who really took part to the competition with all the requirements.As for, I honestly did... See more

Hello everyone,To those using federated learning for this competition: would you be willing to share your public LB score and how it compares to your local CV?

Just curious: Has anyone tried to directly stream MPEG-G compressed data into your deep learning models— no decompression needed?Instead of bloated I/O and was... See more

To be in top 3 or 10 in the leaderboard, one has to use decision-tree based models. But the description says explicitly to use a pytorch based model.If someone... See more

Those who are having high public score, including us, are using any of the boosting classifiers, not any neural network. How are we supposed to make Federated L... See more

0.02xxx CV - 0.001xxx LB

I’m wondering if it’s possible for the results of my model to still be valid if the output values fall within the range of e-7 or e−8, even without applying one... See more

GBM models like XGB, LGBM these are the best for tabular kind of data prediction. Do we need to implement a neural network or will it be acceptable by Zindi if... See more

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@Amy_Bray Could you kindly remove this sub from my subs. I was wondering how people were getting this score and now that I know , I think it should be removed.... See more

Hello everyone, I've noticed that many participants are using decision tree-based models. I'm wondering how federated learning could be implemented with them,... See more

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Hi Zindians, I’m building an AI-based assistant to help solve Zindi challenges more efficiently and creatively.🎯 Project goal: Create a modular system of “agen... See more

Can someone ?

I do not have missig entries but zindi give me that sumission have missing entries .what can do? please help me.

Zindi give me missing entries data but i do not have missing entries,i checked that

How can I know the Score of model

They give me missing entreies but ,my submssion not have missing entries