Table 4.
Best-performing classifier detailed metrics
Classifier | Accuracy | Recall | Precision | F1 | |
Housing status* | Support vector machine (n=1) | 0.92 | 0.93/0.91 (0/1) | 0.94/0.90 | 0.93/0.91 |
Tobacco use† | Logistic regression (n=1–2) | 0.85 | 0.82/0.95/0.86 (0,1,2) |
0.96/0.43/0.87 (0,1,2) |
0.88/0.60/0.87 (0,1,2) |
Alcohol use† | Logistic regression (n=1–2) | 0.83 | 0.86/0.73/0.81 (0,1,2) |
0.93/0.44/0.88 (0,1,2) |
0.89/0.55/0.84 (0,1,2) |
*0:no use, 1: current use.
†0:no use, 1: rare/occasional/history, 2: current use.