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. 2019 Jun 15;21(6):e13803. doi: 10.2196/13803

Table 1.

Performance for each model based on variations of text and hashtag use.

Performance measure Decision tree Random forest Support vector machine Study model
Text with hashtags, %

Precision 95.05 96.00 96.86 94.81

Recall 82.15 86.08 81.21 91.42

F1 score 88.13 90.77 88.35 93.09

Area under the curve 96.67 96.85 97.18 98.12
Hashtags only, %

Precision 86.22 94.14 95.39 89.60

Recall 86.50 87.13 84.24 88.89

F1 score 86.36 90.50 89.47 89.24

Area under the curve 95.95 95.23 95.43 94.32
Text without hashtags, %

Precision 88.49 97.07 97.80 93.60

Recall 93.08 91.31 89.32 98.31

F1 score 90.73 94.11 93.37 95.90

Area under the curve 95.56 94.85 93.49 99.12