An example resolved LMM analysis decision tree for experiment A & B. Article Swipe

Jonathan Edward Robinson (22783774) , Andrew W. Corcoran (4821642) , Christopher J. Whyte (10221344) , András Sárközy (22783777) , Anil K. Seth (8755419) , Gyula Kovács (5652901) , Karl J. Friston (7460225) , Cyriel M. A. Pennartz (11194917) , Giulio Tononi (2644) , Jakob Hohwy (366711) ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.1371/journal.pone.0328836.g003

Here solid lines denote variables to be considered and grey boxes (dotted lines) denote decision criteria. Note: 1) Crossed out options are for example only, all options are available in real analysis tree. 2) For display purposes only included variables are written in full but variable selection at each level includes the same forks. 3) The third level criteria uses ascending steps to decide model variable inclusion. 4) Top of the tree denotes the basic model.

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Decision Tree Learning

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Concepts

Variable (mathematics) Decision tree Mathematics Feature selection Selection (genetic algorithm) Tree (set theory) Statistics Computer science Decision tree learning Data mining Decision tree model Artificial intelligence

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Type: other
OA Status: green
OpenAlex ID: https://openalex.org/W7111400779

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