Table 5 Mean scores 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 | F 1 | PCCC | CSMFA | CCCSMFA | |
|---|---|---|---|---|---|---|
Adult (15–69 years) | ||||||
Naïve Bayes | .710 | .710 | .704 | .689 | .929 | .801 |
Random forest | .733 | .730 | .728 | .711 | .948 | .854 |
SVM | .746 | .737 | .740 | .718 | .962 | .894 |
Neural network | .773 | .770 | .770 | .764 | .962 | .894 |
Child (29 days–14 years) | ||||||
Naïve Bayes | .647 | .595 | .608 | .565 | .851 | .585 |
Random forest | .687 | .620 | .638 | .591 | .872 | .643 |
SVM | .686 | .658 | .666 | .632 | .914 | .760 |
Neural network | .719 | .695 | .698 | .672 | .904 | .733 |
Neonate (<29 days) | ||||||
Naïve Bayes | .507 | .516 | .493 | .376 | .826 | .509 |
Random forest | .534 | .542 | .524 | .411 | .852 | .581 |
SVM | .537 | .538 | .524 | .404 | .857 | .597 |
Neural network | .579 | .576 | .556 | .453 | .825 | .507 |