On fourth down, an NFL team chooses between going for it (run or pass) and kicking (punt or field goal). This project uses 2025 NFL play-by-play data to find out which game situations drive that ...

An evaluation harness comparing TypeSafe AI's Jev decision model against an LLM with structured output (Claude Haiku 5.5) and a classical TF-IDF + logistic regression baseline on a 77-class intent ...

BACKGROUND: Infants with hypoplastic left heart syndrome remain at high risk during the interstage between stage 1 and stage 2 surgical palliations. As a multicenter Learning Health Network, the ...

A retrospective study of 186 traumatic brain injury patients found that a model using four admission variables predicted ...

Hello everyone, stay safe!! This is Takachan the engineer.AI that identifies spam, AI that predicts sales, AI that ...

Times Voter Trends reports are based on individual-level estimates of the likelihood that voters would have supported the Democrat, Republican or a minor-party candidate.

An organization that sets a numerical goal of a 10% increase in sales versus an organization that sets a qualitative goal of ...

A study of 6,395 Chinese university students found competitive performance from some LLM prompting strategies but no stable ...

Objective Hospital pharmacies operate under a persistent dilemma: ensuring uninterrupted access to essential medicines while ...

An ordinal outcome carries more information than a nominal one, and less than a continuous one — and the model has to match that middle ground exactly, or it either throws information away or invents ...

Binary logistic regression gives you one odds ratio per predictor. Multinomial logistic regression gives you a whole set of them — one full set of coefficients for every outcome category except a ...

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...