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--- 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