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

Table 3 The percentage of participants classified as current or former smokers by exposure or potential harm classification models who had cardiovascular or respiratory diseases

	Predicted by exposure classification model		Predicted by potential harm classification model
	Current smoker	Former smoker	Current smoker	Former smoker
Cardiovascular disease	9.9%	6.4%	10.9%	6.3%
Respiratory diseases	19.4%	16.7%	22.2%	14.2%

ISSN: 1471-2458