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Fig. 2 | BMC Public Health

Fig. 2

From: Binary classification of users of electronic cigarettes and smokeless tobacco through biomarkers to assess similarity with current and former smokers: machine learning applied to the population assessment of tobacco and health study

Fig. 2

The features contributing to classification as current or former smokers in cross-validation of the exposure and potential harm classification models (feature importance %). Abbreviations: 8PGFT 8-isoprostane, CEMA N-acetyl-S-(2-carboxyethyl)-L-cysteine, FIB fibrinogen, HEMA N-acetyl-S-(2-hydroxyethyl)-L-cysteine, HPMA N-acetyl-S-(3-hydroxypropyl)-L-cysteine, hsCRP high-sensitivity C-reactive protein, IL6 interleukin 6, NNAL 4-(methylnitrosamino)-4-(3-pyridyl)-1-butanol, NNNT N’-nitrosonornicotine, sICAM soluble intercellular adhesion module, TNE7 total nicotine equivalents, PMA N-acetyl-S-(phenyl)-L-cysteine, P01 1-naphthol or 1-hydroxynaphthalene, P02 2-naphthol or 2-hydroxynaphthalene, P10 1-hydroxypyrene

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