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evaluation · needs review

Kraken2: Hierarchical metagenomic taxonomy classification

Evaluation procedure

Macro average precision at genus rank on Complete dataset.

Model
Kraken2
Benchmark
Hierarchical metagenomic taxonomy classification
Dataset
ICCTax Complete dataset
origin
Independent external evaluation
configuration
Not reported
protocol id
Not reported
dataset version
Not reported
split
Not reported
population
Not reported
inputs
Not reported
adaptation
Not reported
metric implementation
Not reported
aggregation
Not reported
budget
Not reported

Metadata review: needs review. Unreported conditions prevent automatic comparisons.

Evaluation results

Release 2026-09-16-d74d282221a9 · 1 evaluation · 1 metric row. Different protocols are not a single leaderboard.

Results grouped by the exact reported evaluation
Metric and findingCoverage and uncertaintyEvidence
Kraken2: Hierarchical metagenomic taxonomy classification

Macro average precision at genus rank on Complete dataset.

Independent external evaluation · Evaluation metadata: needs review

70.56 Genus macro AveP

Unit: % · Direction: unknown

Uncertainty: not reported in legacy extract

Scored: Not reported · Eligible: Not reported

source checkedICCTax: a hierarchical taxonomic classifier for metagenomic sequences on a large language model · Table 2, Kraken2 row, Genus column

Source checking is not independent reproduction.

Sources and history

Release 2026-09-16-d74d282221a9 · Record review: needs review

Download this release
Technical metadata and extraction receipts

Stable ID: evaluation-lit-b3-036

areas
microbes-communities
tasks
Hierarchical metagenomic taxonomy classification
origin
independent_paper
protocol
Macro average precision at genus rank on Complete dataset.
version
Not reported
comparison
protocol id: Not reported; dataset version: Not reported; split: Not reported; population: Not reported; inputs: Not reported; adaptation: Not reported; metric implementation: Not reported; aggregation: Not reported; budget: Not reported
missing metadata
model version: not_reported_in_legacy_extract; dataset version: not_reported_in_legacy_extract; split: not_reported_in_legacy_extract
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