Table 6 Mean scores using WHO categories on the combined MDS and RCT datasets for each of the four classifiers
From: Automatically determining cause of death from verbal autopsy narratives
Precision | Sensitivity | F1 | PCCC | CSMFA | CCCSMFA | |
|---|---|---|---|---|---|---|
Adult (15–69 years) | ||||||
Naïve Bayes | .591 | .593 | .580 | .583 | .869 | .643 |
Random forest | .644 | .647 | .634 | .638 | .905 | .742 |
SVM | .665 | .662 | .655 | .654 | .908 | .751 |
Neural network | .630 | .654 | .620 | .646 | .840 | .567 |
Child (29 days–14 years) | ||||||
Naïve Bayes | .493 | .402 | .427 | .379 | .768 | .369 |
Random forest | .570 | .507 | .514 | .488 | .807 | .476 |
SVM | .567 | .530 | .528 | .512 | .796 | .446 |
Neural network | .512 | .494 | .474 | .474 | .753 | .330 |
Neonate (<29 days) | ||||||
Naïve Bayes | .434 | .469 | .435 | .399 | .797 | .448 |
Random forest | .424 | .455 | .426 | .384 | .798 | .450 |
SVM | .505 | .497 | .476 | .431 | .813 | .492 |
Neural network | .328 | .361 | .306 | .278 | .634 | .007 |