AINewsnow

Cross-validation fails when data leaks between folds

This story is from 2026-10-20. It is preserved in the archive; the latest stories are on the live feed.

A model that scores well on the data it was trained on has shown that it can memorise. Cross-validation is the standard way to estimate how it will do on data it has never seen. It only works if one rule holds, though: no information from the validation data may reach the model-building process by…

Read the full story at DEV Community — Machine Learning ↗

Timeline · 1 report

  1. 2026-10-20 12:44 · DEV Community — Machine Learning
    Cross-validation fails when data leaks between folds

More stories

  1. DeepSeek open-sources DeepInfer, its high-performance inference framework that powers its production services, starting with support for DeepSeek-V4.1-Flash — Techmeme
  2. US bans China's DeepSeek from government in race for AI dominance — BBC Technology
  3. DHS Orders DeepSeek Technology Removed From Federal Civilian IT Systems — Wall Street Journal Technology
  4. ALTK-Evolve: How learned memory tops the τ²-bench leaderboard on customer service tasks without a frontier model — Hugging Face Blog
  5. From training to serving: Reflection’s Beam on CoreWeave — CoreWeave Blog
  6. DeepSeek releases DeepSeek-V4.1-Flash-1017 open weights under the MIT license — r/huggingface
  7. Spotify pulled 50 million AI slop and spam tracks from its recommendations — The Verge AI
  8. Anthropic’s leaked AI bill sparks backlash — Semafor Technology

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