Three months ago, we launched our Supreme Court of Canada Leave
Project. Part of that project is a machine learning algorithm that
provides predictions of the likelihood of different cases getting
leave to the Supreme Court. Since launch, we've made fourteen
weekly predictions for leave applications to the Supreme Court of
Canada. Our model has provided predictions for the likelihood that
leave would be granted from 123 decisions of Courts of Appeal
across the country.
Since we've launched, we've heard two questions. First,
how does the model perform? Second, it's a neat idea, but is it
actually useful? This blog post answers those two questions.
HOW DOES THE MODEL PERFORM?
Very, very well.
