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. 2023 Jun 26;15(7):1823. doi: 10.3390/pharmaceutics15071823

Table 11.

Performance comparison between the proposed methods.

Method Class Method Precision Recall F1-Score
Linear methods UTurku [16] 0.732 0.499 0.594
UWM [36] 0.439 0.505 0.47
Kim [37] - - 0.67
Kernel methods Nil [38] 0.535 0.501 0.517
WBI [39] 0.642 0.579 0.609
FBK-irst [17] - - 0.67
RNN Methods Liu et al. [6] 0.757 0.647 0.698
Quan et al. [18] 0.76 0.653 0.702
Park et al. [20] 0.6895 0.7477 0.7174
Zhang et al. [34] 0.741 0.718 0.729
Wuti et al. [40] 0.801 0.740 0.770
This work Proposed Model No. 1 0.7359 0.7405 0.7382
Proposed Model No. 2 0.837 0.85 0.8438