My ensemble scored 0.129 on the leaderboard. Here is what explained the gap
A forecast of 0.143, graded scores of 0.128 and 0.129, and six tested explanations for the gap.
Tag archive
A forecast of 0.143, graded scores of 0.128 and 0.129, and six tested explanations for the gap.
I’m Joining the Kaggle Benchmarking Challenge 🚀 AI models are getting better every day,...
I'm a CSE student from Maharashtra, India. I code everything from my mobile phone. And I speak...
![I Tried to Measure That One Weird Failure Mode in [LLMs / Agents]](https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fl84mqbkpr8i7ef8iltpe.png)
The failure mode I couldn't stop thinking about Every time I use [a model / an agent] for...

How to Convert Bash Kaggle Commands to PowerShell (Without Breaking Your Setup) If you...

_ Part 3 of an honest journey from zoology to code — the errors nobody warns you about. _ I said...

_Part 4 of an honest journey from zoology to code — this one's written from inside the struggle, not...

_ _ Part2 of an honest journey from zoology to code-no one told me where To start._ I started my...

Kaggle: Free GPUs, Datasets & Competitions for Data Science (Beginner's Guide) Want to...

A_Zoology postgraduate's honest journey into the world of coding. **I have a BSc in Life Science and...

An inside look at AIMO3, Kaggle's AI Mathematical Olympiad. How a two-person team built a Parallel Self-Consistency Pipeline that scored 42/50 and placed in the top 12% globally, and what the 2026 IMO "perfect score" headlines actually mean.

Five lessons from a machine-learning competition where you predict the depth of rock you cannot see. Almost none of them are about models. A summary of the arc so far, and the through-line underneath it.