AINewsnow

Spatial Cross-Validation When the Data Won’t Spread Out

Spatial Cross-Validation When the Data Won’t Spread Out Random k-fold cross-validation can overstate model performance on clustered ecological data. But the obvious alternatives failed on my dataset too. Here is the spatial fold design I settled on for QueleaGuard, why the first two attempts failed…

Read the full story at DEV Community — Machine Learning ↗

Timeline · 1 report

  1. 2026-10-27 20:04 · DEV Community — Machine Learning
    Spatial Cross-Validation When the Data Won’t Spread Out

More stories

  1. Meta announces $95B offering to fund AI — Semafor Technology
  2. Apple Creator Studio update adds MotionVFX to Final Cut, and AI to everywhere — Engadget
  3. Frontier AI labs say their models refuted the Exponential Time Hypothesis. What does that mean? — TechCrunch AI
  4. Introducing GPT-6.1 Terra — OpenAI News
  5. Groundhog Day for AI agents: Prompt caching patterns for using OpenAI models on Amazon Bedrock — AWS Machine Learning Blog
  6. Microsoft to reportedly offer buyouts to 60,000 employees in latest cuts — The Guardian AI
  7. Learner collaborates with MIT peers to develop book of AI insights — MIT News AI
  8. Memory-Enforced GPU Sharing in Kubernetes with NVIDIA CUDA 13.4 — NVIDIA Technical Blog

Get the daily brief of stories like this at 6:30 every morning →