Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Decision trees are machine learning models designed for classification and regression problems, and they can yield accurate prediction (1). In a Report published by KENNEDY et al. (2), the authors have demonstrated the application of Bayesian additive regression tree (BART, 3), an extension of the classification and regression tree (CART, 1), to predict executive office elections in over 85 countries with 80% to 90% accuracy.
We don’t need scare tactics to develop a proper response to COVID-19. This will surprise some who know me, but about 20 years ago I was pursuing a future in full-time ministry.¹ At the time that meant a number of mentoring relationships, many of which consisted of jointly reading books on church leadership, then discussing how to make use of the ideas. But I kept noticing something in many of the books we were reading.
Report Ryan Kennedy1,*, Stefan Wojcik2,3, David Lazer2,3 1Center for International and Comparative Studies, University of Houston, Houston, TX, USA. 2Lazer Lab, Northeastern University, Boston, MA, USA. 3Institute for Quantitative Social Science, Harvard University, Cambridge, MA, USA. ↵*Corresponding author. Email: rkennedy{at}uh.edu See allHide authors and affiliations Science 03 Feb 2017: Vol. 355, Issue 6324, pp.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
