Research Article
Probabilistic Model-Based Malaria Disease Recognition System
| Actual | Predicted | | Yes | No | Yes | 46 | 14 | No | 5 | 35 |
| Measure | Value | Derivations | Sensitivity | 0.9020 | TPR = TP/(TP + FN) | Specificity | 0.7143 | SPC = TN/(FP + TN) | Precision | 0.7667 | PPV = TP/(TP + FP) | Negative predictive value | 0.8750 | NPV = TN/(TN + FN) | False positive rate | 0.2857 | FPR = FP/(FP + TN) | False discovery rate | 0.2333 | FDR = FP/(FP + TP) | False negative rate | 0.0980 | FNR = FN/(FN + TP) | Accuracy | 0.8100 | ACC = (TP + TN)/(P + N) | F1 score | 0.8288 | F1 = 2TP/(2TP + FP + FN) | Mathews correlation coefficient | 0.6288 | TPTN-FPFN/sqrt (TP + FP)(TP + FN)(TN + FP)(TN + FN) |
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