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Chunk #25 — 3. Results — 3.1. Random Forest Classification — 3.1.2. Multi-Way Importance Plot

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Random Forest Classification of Alcohol Use Disorder Using fMRI Functional Connectivity, Neuropsychological Functioning, and Impulsivity Measures.
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The top significant variables were also shown in a multi-way importance plot based on the relationships across three RF measures of importance, viz., the Gini decrease, the number of trees, and the p-value (Figure 2). A particular variable is deemed significant if that variable is used for splitting more often than that of a random chance. As listed in Table 3, the variables that were found to be important for group classification are: 14 DMN connections, two neuropsychological variables (the memory span and total correct scores of the forward condition of the VST), and all four impulsivity (BIS) scores.