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Random forest to classify suicide ideation (absence/presence). Note. Variables included in random forest analysis included 20 variables significantly (p < 0.05) associated with SI from logistic regression (Step 1). Variables with positive importance values increased the accuracy of the random forest algorithm; negative values decrease accuracy. Negative values are likely due to random error.
