Table 5.
Datasets | Test cases | King-Lu (%) | Open-source random forest (%) | Open-source tariff method (%) | InterVA-4 (%) | Average (%) |
---|---|---|---|---|---|---|
China |
400 |
84 |
79 |
75 |
N/A |
79 |
Institute for Health Metrics and Evaluation |
400 |
88 |
73 |
63 |
N/A |
75 |
Million Death Study |
6100 |
96 |
64 |
33 |
70a |
66 |
Agincourt |
2900 |
94 |
72 |
38 |
75 |
70 |
Matlab |
1600 |
95 |
69 |
59 |
72 |
74 |
Average | 91 | 71 | 54 | 72 |
aThe Million Death Study dataset used for InterVA-4 contained a sample of 552 cases, in which we attempted to extract additional InterVA-4 indicators from the narratives.