Can We Build Better Prediction Machines?
SMITH BRAIN TRUST – Attempting to conduct predictive modeling from sparse, binary data sets is complicated. So researchers typically use what’s called unsupervised matrix-factorization based dimensionality reduction as an initial step in the process. But it’s not clear whether dimensionality reduction actually helps improve predictive modeling performance.