evaluation · needs review

MDL4Microbiome: microbiome disease-state classification

Evaluation procedure

Multimodal deep learning model on colorectal-cancer versus healthy microbiome samples

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

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

Evaluated configurationMetricEvidence origin

Results grouped by the exact reported evaluation
Metric and finding	Coverage and uncertainty	Evidence
MDL4Microbiome: microbiome disease-state classification Model: MDL4Microbiome · Benchmark: microbiome disease-state classification · Dataset: CRC microbiome cohort Multimodal deep learning model on colorectal-cancer versus healthy microbiome samples Author-reported evaluation · Evaluation metadata: needs review
0.97 accuracy Unit: fraction · Direction: unknown	Uncertainty: not reported in legacy extract Scored: Not reported · Eligible: Not reported	source checkedMultimodal deep learning applied to classify healthy and disease states of human microbiome · Table 3, CRC row, MDL4Microbiome column Source checking is not independent reproduction.

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

Technical metadata and extraction receipts

Stable ID: evaluation-lit-b4-020

areas: microbes-communities
tasks: microbiome disease-state classification
origin: author_reported
protocol: Multimodal deep learning model on colorectal-cancer versus healthy microbiome samples
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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