This paper-specific evaluation tests metagenomic genus classification using AMP.
Explanatory profile: limited source coverage · Automated source review, 2026-09-16. This does not change the review status of its results.
| Property | Description and evidence |
|---|---|
| Record type | Paper-specific task; protocol incompletely extractedPC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification · Table 3, AMP section, PC-mer + LR k=8 row, Accuracy (%) column |
| Inputs | AMPPC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification · Table 3, AMP section, PC-mer + LR k=8 row, Accuracy (%) column |
| Assessment | accuracyPC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification · Table 3, AMP section, PC-mer + LR k=8 row, Accuracy (%) column |
| Recorded split or evaluation setting | genus-levelPC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification · Table 3, AMP section, PC-mer + LR k=8 row, Accuracy (%) column |
| Datasets | Not extracted or verified for this record. |
| Organisms | Not extracted or verified for this record. |
| Assays | Not extracted or verified for this record. |
| Adaptation | Not extracted or verified for this record. |
| Baselines | Not extracted or verified for this record. |
Outline of the existing paper extraction. Split membership, fitting details and scorer implementation remain incompletely reviewed.
The existing paper extraction describes: k=8 PC-mer feature extraction with logistic regression on AMP genus-classification dataset. This description is retained with the exact evaluation records; it is not a new protocol reconstruction.
PC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification · Table 3, AMP section, PC-mer + LR k=8 row, Accuracy (%) columnRelease 2026-09-16-d74d282221a9 · 1 evaluation · 1 metric row. Different protocols are not a single leaderboard.
| Metric and finding | Coverage and uncertainty | Evidence |
|---|---|---|
| PC-mer + LR: metagenomic genus classification k=8 PC-mer feature extraction with logistic regression on AMP genus-classification dataset Author-reported evaluation · Evaluation metadata: needs review | ||
| 96.95% accuracy Unit: percent · Direction: unknown | Uncertainty: not reported in legacy extract Scored: Not reported · Eligible: Not reported | source checkedPC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification · Table 3, AMP section, PC-mer + LR k=8 row, Accuracy (%) column Source checking is not independent reproduction. |
Catalogue extraction inspected; protocol claims remain limited to the cited evidence. Missing details are not presumed absent from the original paper.
Stable record: reported-task-4420dcdfe8338dRelease 2026-09-16-d74d282221a9 · Record review: needs review
Stable ID: reported-task-4420dcdfe8338d