Atlas · GenAI 2026
Model Evaluation
Model evaluation metrics (precision, recall, AUC)
conceptPeak: 2017EDA & Model EvaluationAI consensus: 2/3
Prerequisites
- mediumStatistical Inference
Understanding why AUC-ROC works, when accuracy is misleading, and how to compute confidence intervals on metrics requires statistical literacy
Recommended reference
Raschka, S. (2022) 'Model Evaluation, Model Selection, and Algorithm Selection in ML' — arXiv:1811.12808; comprehensive survey of evaluation methodology
Notes from AI deep research
Anthropic Opus
Precision/recall to poczatek. Kalibracja, threshold optimization, CI na metrykach — odroznia juniora od seniora
OpenAI Deep Research
Krytyczna analiza benchmarków — proxy vs realna wartość [OA#9]
Related skills
- → is part of: Data Science(3/3)
- → is subcategory of: Machine Learning(1/3)
- ← is an instance of: Explainable AI(1/3)