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. 2020 Jun 30;12(3):731–739. doi: 10.1007/s41870-020-00495-9

Table 1.

Comparative analysis of traditional machine learning algorithms

Algorithm Precision Recall F1 score Accuracy (%)
Logistic regression 0.94 0.96 0.95 96.2
Multinomial Naïve Bayesian 0.94 0.96 0.95 96.2
Support vector machine 0.82 0.91 0.86 90.6
Decision tree 0.92 0.92 0.92 92.5