---
title: "Luz 2021"
type: concept
related: [Grid Search, Mmse, Loo]
source: https://www.jemoka.com/posts/kbhluz_2021/
confidence: high
status: active
---

DOI: 10.1101/2021.03.24.21254263
One-Liner Review paper presenting the \(ADReSS_o\) challenge and current baselines for three tasks
Notes Three tasks + state of the art:
Classification of AD: accuracy \(78.87\%\) Prediction of MMSE score: RMSE \(5.28\) Prediction of cognitive decline: accuracy \(68.75\%\) Task 1 AD classification baseline established by decision tree with late fusion
(LOOCV and test)
Task 2 MMSE score prediction baseline established by grid search on parameters.
SVR did best on both counts; results from either model are averaged for prediction.
Task 3 Same thing here, DT does better but notably its F1 is smaller; data trained with final late fusion
