Allan’s Blog
Updates on policy, data, work, and other things that interest me. Title suggestions appreciated.
Part II: Using Logistic Regression to Classify and Predict Supreme Court Cases
Is it possible to predict Supreme Court cases ideological direction using machine learning? Allan explores this question using Roberts Court cases and logistic regression methods in part 2 of this 2-part mini-series.
Picture credit: Fred Schilling
New Project: Using Supreme Court Data to Find Trends & Predict Case Outcomes
Every year, the Supreme Court receives more than 7,000 petitions of appeal on a previous ruling of a court case, and could review anywhere from 80-150 of them in a year. What can we learn from those cases about the Court? Allan explores this question in Part 1 of this 2-part mini-series.
Photo credit: Joe Ravi