Table 3 People living with HIV know their status and 95% or more probability of being HIV positive
From: Use of machine learning techniques to identify HIV predictors for screening in sub-Saharan Africa
95% of those with HIV | TP | FP | FN | TN | precision |
|---|---|---|---|---|---|
Know their status (males) | 4200 | 3503 | 34 | 651 | 15.67 |
Know their status (females) | 5662 | 2186 | 58 | 1115 | 33.77 |
95% or > probability of | 7690 | 13 | 350 | 335 | 99.26 |
being HIV positive (males) | |||||
95% or more probability of | 7842 | 6 | 204 | 969 | 96.26 |
being HIV positive (females) | |||||