Estimation Technique
SCAG develops and applies state-of-the-art models, integrated into a comprehensive modeling and forecasting framework to develop growth projections, travel forecasts, and emissions estimates to support the Region’s various planning programs. The SPM Modeling Framework uses a variety of different algorithms to learn the model parameters, including linear regression, logistic regression, and support vector machines. Each algorithm has its own strengths and weaknesses, and the choice of algorithm depends on the nature of the problem being solved.