Empirical observation of negligible fairness–accuracy trade-offs in machine learning for public policy. Nature Machine Intelligence, 2021; 3 (10): 896 DOI: 10.1038/s42256-021-00396-x; ...

First machine learning method capable of accurate extrapolation. ScienceDaily. Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2018 / 07 / 180712123938.htm.

Toffel, Michael W., Natalie Epstein, Kris Ferreira, and Yael Grushka-Cockayne. "Assessing Prediction Accuracy of Machine Learning Models." Harvard Business School Technical Note 621-045, August 2020. ...

Please use one of the following formats to cite this article in your essay, paper or report: APA. Intellegens Limited. (2022, October 14). It’s Not Just About Accuracy - Five More things to Consider ...

There Are No Accurate Machine Learning Models, Only Agreeable Ones. ByDavid Talby, Forbes Councils Member. for ...

However, in these ‘hidden-phone’ scenarios, UofG’s Smart Contact Tracing app improved accuracy from about 56 percent to 87 percent. Machine learning also allows UofG’s app to distinguish certain ...

Machine learning boosts accuracy of solar power forecasts. Institute of Atmospheric Physics, Chinese Academy of Sciences. Journal Advances in Atmospheric Sciences DOI 10.1007/s00376-024-4219-2.

Toffel, Michael, and Natalie Epstein. Assessing Prediction Accuracy of Machine Learning Models. Harvard Business School Tutorial 621-706, February 2021.