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Model for clade_psychrophilic

  • Description: Binary classification of a bacterial phenotype (psychrophily) from Pfam protein-domain content of the genome, for strains in the BacDive-AI release (13,669 strains x 2,047 Pfam families). Whole gene-content clades are held out, so no test strain shares a clade with any training strain. This is the honest generalisation setting; compare against the bacdive variant to isolate the effect of the split protocol. Note that trait prevalence ranges from 2.6% to 55%, so accuracy is a weak summary; macro-F1 is the informative metric. External links: https://github.com/JKoblitz/bacdive-AI, https://doi.org/10.5281/zenodo.13757323


Reference(s): https://doi.org/10.1038/s42003-025-08182-w, https://github.com/JKoblitz/bacdive-AI;https://doi.org/10.5281/zenodo.13757323, https://doi.org/10.5281/zenodo.13757323, https://github.com/JKoblitz/bacdive-AI

Model benchmarks

Model nameDataset ACC Team name Dataset size Date submitted Notes
g2p_logisticbacdive_clade0.9569JHU1305809-07-2026CSV, JSON, run.sh, Info
g2p_rfbacdive_clade0.9724JHU1305809-07-2026CSV, JSON, run.sh, Info
g2p_multitaskbacdive_clade0.9499JHU1305809-07-2026CSV, JSON, run.sh, Info
g2p_gbmbacdive_clade0.9756JHU1305809-07-2026CSV, JSON, run.sh, Info
g2p_mlpbacdive_clade0.9693JHU1305809-07-2026CSV, JSON, run.sh, Info