Table. Predicted Age Category of Twitter Users Following @JUULvapor Who Were Classified as Individuals.
Model | Individual Accounts, No. (%) (n = 9077) |
---|---|
3-Age category, y | |
13-17 | 4078 (44.9) |
18-24 | 3957 (43.6) |
≥25 | 1042 (11.5) |
2-Age category, y | |
13-20 | 7313 (80.6) |
≥21 | 1764 (19.4) |