![]() ![]() The top five most important predictors of perceived success in vaping-assisted smoking cessation were more positive experiences measured by the Vaping Experiences Score (100%), less previously failed quit attempts by vaping (39.0%), younger age (21.9%), having vaped 100 times (16.8%), and vaping shortly after waking up (15.8%). The model achieved relatively high performance with an area under the ROC curve of 0.865 and classification accuracy of 0.831 (95% CI 0.780 to 0.874). About 20% of participants (N = 174, 19.6%) reported success in vaping-assisted smoking cessation. The top five most important predictors were identified using a score between 0% and 100% that represented the relative importance of each variable in model training. This model was trained using cross-validation and tested using the receiver operating characteristic (ROC) curve. ![]() Fifty-one person-level characteristics, including a Vaping Experiences Score, were assessed in a gradient boosting machine model to classify the status of perceived success in vaping-assisted smoking cessation. During July and August 2019, an online survey was administered to a convenience sample of 889 adult smokers (age ≥ 20) in Ontario, Canada who tried vaping to quit smoking in the past 12 months. In this cross-sectional study, we aimed to identify and rank the importance of these characteristics using machine learning. ![]() Prior research has suggested that a set of unique characteristics may be associated with adult cigarette smokers who are able to quit smoking using e-cigarettes (vaping). ![]()
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