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. 2022 Sep 28;2022:3357508. doi: 10.1155/2022/3357508

Table 1.

Performance of proposed DBN-AMBO with other classifiers.

Datasets Performance RNN CNN GAN DBN DBN-AMBO
Shenzhen China Accuracy 0.895 0.792 0.972 0.973 0.992
Precision 0.893 0.927 0.970 0.981 0.978
Recall 0.935 0.858 0.932 0.934 0.954
Specificity 0.961 0.718 0.856 0.961 0.991
NPV 0.214 0.347 0.175 0.283 0.06
FNR 0.850 0.923 0.971 0.856 0.998

Montgomery Country Accuracy 0.983 0.894 0.952 0.915 0.987
Precision 0.853 0.914 0.906 0.913 0.966
Recall 0.953 0.884 0.926 0.954 0.989
Specificity 0.862 0.776 0.871 0.964 0.994
NPV 0.221 0.343 0.074 0.327 0.02
FNR 0.852 0.913 0.965 0.931 0.972