# Not quite unreasonable effectiveness of machine learning algorithms

arXiv: https://arxiv.org/abs/1804.02543 · HTML: https://mlsanity.com/paper/1804.02543/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 7 Apr 2018.

## Built on by (most cited first, 1 of 1)

- [Predictive models for wind speed using artificial intelligence and copula](https://mlsanity.com/paper/2107.06182/) (2021)

## Abstract (arXiv)

State-of-the-art machine learning algorithms demonstrate close to absolute performance in selected challenges. We provide arguments that the reason can be in low variability of the samples and high effectiveness in learning typical patterns. Due to this fact, standard performance metrics do not reveal model capacity and new metrics are required for the better understanding of state-of-the-art.