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. 2020 May 20;43(2):87–92. doi: 10.1016/j.irbm.2020.05.003

Table 2.

Training analyses of the COVID-19 classification models by considering confusion matrix and various performance metrics.

Model TP FP TN FN Precision NPV Sn Sp Acc
ANN 234 36 239 21 0.866667 0.919231 0.917647 0.869091 0.892453
ANFIS 245 25 241 19 0.907407 0.926923 0.92803 0.906015 0.916981
CNN 247 23 235 25 0.914815 0.903846 0.908088 0.910853 0.909434
DTL 256 14 238 22 0.948148 0.915385 0.920863 0.944444 0.932075
Proposed 264 6 246 14 0.977778 0.946154 0.94964 0.97619 0.962264