eISSN 2093-744X
pISSN 1598-2645

Table 4

Accuracy result comparison with different methods

Study	Classifier	Accuracy (%)
Fahd et al. [40]	Random Forest with booster ensemble tuning	85.7
Hussain and Khan [41]	Genetic algorithm with decision-tree	96.64
Alturki and Alturki [42]	Random forest	92.60
Yousafzai et al. [43]	Attention-based BiLSTM	90.16
Riyadi Yanto et al. [44]	Fuzzy soft set	89.00
This work	ANFIS	99.10

International Journal of Fuzzy Logic and Intelligent Systems 2022;22:213~222 https://doi.org/10.5391/IJFIS.2022.22.2.213