Table 1. Prediction metrics on held out data for the best performing gradient boosted decision trees model.
Antibiotic | TN | FP | FN | TP | S.PRC | S.RCL | R.PRC | R.RCL | S.FSc | R.FSc | ACC |
---|---|---|---|---|---|---|---|---|---|---|---|
AMP | 24 | 5 | 5 | 118 | 0.83 | 0.96 | 0.83 | 0.96 | 0.83 | 0.96 | 0.93 |
AMX | 80 | 8 | 15 | 115 | 0.84 | 0.93 | 0.91 | 0.89 | 0.87 | 0.91 | 0.89 |
AMC | 221 | 34 | 29 | 52 | 0.89 | 0.60 | 0.87 | 0.64 | 0.87 | 0.62 | 0.81 |
CTZ | 309 | 4 | 13 | 50 | 0.96 | 0.92 | 0.99 | 0.80 | 0.97 | 0.85 | 0.95 |
CTX | 281 | 5 | 6 | 66 | 0.98 | 0.93 | 0.98 | 0.922 | 0.98 | 0.92 | 0.97 |
CXM | 273 | 11 | 24 | 68 | 0.92 | 0.86 | 0.96 | 0.74 | 0.94 | 0.79 | 0.91 |
CET | 38 | 12 | 17 | 85 | 0.70 | 0.88 | 0.76 | 0.83 | 0.72 | 0.85 | 0.81 |
GEN | 316 | 1 | 11 | 48 | 0.97 | 0.98 | 0.99 | 0.81 | 0.98 | 0.89 | 0.97 |
TBM | 104 | 3 | 7 | 38 | 0.94 | 0.92 | 0.98 | 0.84 | 0.95 | 0.89 | 0.93 |
TMP | 73 | 7 | 10 | 62 | 0.88 | 0.90 | 0.91 | 0.86 | 0.90 | 0.88 | 0.89 |
CIP | 281 | 10 | 16 | 69 | 0.95 | 0.87 | 0.97 | 0.81 | 0.95 | 0.84 | 0.93 |
TN: true negatives, FN: false negatives, FP: false positives, TP: true positives, PRC: precision, RCL: recall, S: susceptibility, R: resistance, ACC: accuracy for resistance.