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The obtained results show low precision due to Horwitz effect (low concentration might decrease precision drastically)

As shown in Table 8 , among the various combinations, the WT-TC-CARS-SVM model has the best performance, reaching an average classification accuracy of 90.6%, and also has an excellent performance in precision, recall, and F1-score, which are 90.3%, 90.3% and 0.9 respectively

As supplementary information, the category of each study is shown in brackets following its citation in the Reference Section

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Check out the National Cancer Institute's SmokeFree.gov for more info