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Predictors of e-cigarette susceptibility The ExtraTrees classifier achieved an accuracy of 81% on the testing set (Figure 1), indicating good model performance in predicting susceptibility status

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We continue to believe that accelerated movement of adult smokers to other categories, primarily e-vapor, and increased exclusive e-vapor category usage drove the incremental year-over-year decline, Gifford said