Skip to main content
[Preprint]. 2026 Sep 16:2026.09.14.751554. [Version 1] doi: 10.64898/2026.09.14.751554

Table 3.

XGBoost classifier performance on 13 known antibiotic classes.

Antibiotic target class precision recall F1-score #test data #training data #total data

30S ribosomal subunit 0.82 1.00 0.90 14 55 69
50S ribosomal subunit 0.94 0.84 0.89 19 75 94
DNA 1.00 1.00 1.00 1 3 4
DNA gyrase 1.00 0.94 0.97 16 16 32
DNA-directed RNA polymerase subunit β 1.00 1.00 1.00 2 6 8
Lipopolysaccharide UDP-N-acetylglucosamine 1.00 1.00 1.00 1 3 4
1-carboxyvinyltransferase 0.00 0.00 0.00 1 3 4
β-lactamases 1.00 0.50 0.67 2 10 12
Dihydrofolate reductase 1.00 1.00 1.00 2 8 10
Dihydrofolate synthase 1.00 1.00 1.00 9 37 46
Enoyl-[acyl-carrier-protein] reductase (NADH) 0 3 3
Penicillin binding protein 0.93 1.00 0.97 28 111 139
Peptidoglycan (D-Ala-D-Ala) 1.00 1.00 1.00 2 8 10
Average 0.93 0.94 91

Individual values are given for known antibiotics classes curated from the KEGG database. UDP-N-acetylglucosamine 1-carboxyvinyltransferase only had one representative molecule in the test data, which was misclassified.