Strengths and considerations
No source-reviewed explanatory claims are recorded here yet.
model · method
Stacking-Auto
Stacking-Auto is the method recorded for enhancer prediction. This page preserves the configuration reported by Hi-Enhancer: a two-stage framework for prediction and localization of enhancers based on Blending-KAN and Stacking-Auto models.
At a glance
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 |
|---|---|
| Recorded dataset | enhancer independent comparisonHi-Enhancer: a two-stage framework for prediction and localization of enhancers based on Blending-KAN and Stacking-Auto models · Table 2, Ours (Stacking-Auto) row, Accuracy column |
| Model type | Not extracted or verified for this record. |
| Known versions | Not extracted or verified for this record. |
| Training data | Not extracted or verified for this record. |
| Context limits | Not extracted or verified for this record. |
| Access | Not extracted or verified for this record. |
| Code licence | Not extracted or verified for this record. |
| Weights licence | Not extracted or verified for this record. |
How it works
Recorded evaluation
The imported evaluation describes this procedure: Two-stage Hi-Enhancer system; paper Table 2 method comparison
Hi-Enhancer: a two-stage framework for prediction and localization of enhancers based on Blending-KAN and Stacking-Auto models · Table 2, Ours (Stacking-Auto) row, Accuracy columnBenchmarks and results
Release 2026-09-16-d74d282221a9 · 1 evaluation · 1 metric row. Different protocols are not a single leaderboard.
| Metric and finding | Coverage and uncertainty | Evidence |
|---|---|---|
| Stacking-Auto: enhancer prediction Two-stage Hi-Enhancer system; paper Table 2 method comparison Author-reported evaluation · Evaluation metadata: needs review | ||
| 80.50% accuracy Unit: percent · Direction: unknown | Uncertainty: not reported in legacy extract Scored: Not reported · Eligible: Not reported | source checkedHi-Enhancer: a two-stage framework for prediction and localization of enhancers based on Blending-KAN and Stacking-Auto models · Table 2, Ours (Stacking-Auto) row, Accuracy column Source checking is not independent reproduction. |
Strengths and limitations
Limitations and conditions
- This is an evidence-limited profile. The recorded evaluation context does not establish performance on other datasets or configurations.Hi-Enhancer: a two-stage framework for prediction and localization of enhancers based on Blending-KAN and Stacking-Auto models · Table 2, Ours (Stacking-Auto) row, Accuracy column
Profile review details
Reviewed the existing release record, its source pointer and linked evaluation context. This is not a fresh full-text architecture review or independent reproduction; numerical review status is unchanged.
Stable record: reported-model-0829aff5471d4bSources and history
Release 2026-09-16-d74d282221a9 · Record review: needs review
- Hi-Enhancer: a two-stage framework for prediction and localization of enhancers based on Blending-KAN and Stacking-Auto models · Original source · version of record
Technical metadata and extraction receipts
Stable ID: reported-model-0829aff5471d4b
- areas
- dna-genomes
- entity level
- method
- version
- Not reported
- reported name
- Stacking-Auto
- missing metadata
- version: not_reported_in_legacy_extract; checkpoint revision: not_reported_in_legacy_extract; training data: not_reported_in_legacy_extract; licence: not_reported_in_legacy_extract