Showing results for "overfitting"
Design an evaluation strategy that avoids overfitting: holdouts, rotating test sets, adversarial sets, and blind evaluation. Include rules for when to refresh benchmarks.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a benchmark suite that measures planning quality, tool-call correctness, and end-to-end success. Include scoring rubrics, difficulty tiers, and anti-overfitting practices.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Explain the role of regularization in balancing model complexity and performance in machine learning. Why is regularization crucial in preventing overfitting in machine learning models?
Author: [email protected]
Category: machine learning, AI, data, data cleansing, regularization | Model: GPT-4.1, o3, o4-mini, o4-mini-high