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Emerging Topics Community: Factorization Machines for High Cardinality Features (Part 4 of 4)
SOA Podcasts - Society of Actuaries
English - March 14, 2023 19:54 - 18 minutes - 17.1 MB - ★★★★★ - 25 ratingsCareers Business Education soa actuaries actuary society Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Previous Episode: Health Section: Stop loss Market conditions with Jon Forster
This is the fourth in a 4-part series where Anders Larson and Shea Parkes discuss predictive analytics with high cardinality features. In the prior episodes we focused on approaches to handling individual high cardinality features, but these methods did not explicitly address feature interactions. Factorization Machines can responsibly estimate all pairwise interactions, even when multiple high cardinality features are included. With a healthy selection of high cardinality features, a well tuned Factorization Machine can produce results that are more accurate than any other learning algorithm.