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; ...

More information: Nina Horat et al, Improving Model Chain Approaches for Probabilistic Solar Energy Forecasting through Post-processing and Machine Learning, Advances in Atmospheric Sciences (2024 ...

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

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 ...

Georgia Southern University researchers develop a machine learning model with 97.97% accuracy in earthquake forecasting. STATESBORO, GA, UNITED STATES, October 29, 2024 /EINPresswire.com ...

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.

A new AI study describes a machine learning algorithm that was able to classify schizophrenia, based on brain images, with 87 percent accuracy. Skip to main content Mobile Navigation.