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1 evaluation · 3 results. Different protocols are not a single leaderboard.
Protocol: Combination phenotype prediction from small training sets: test RMSE at fixed average gene frequency · Dataset: Horlbeck et al. 2018 combinatorial CRISPRi in Jurkat T cells, gene-level viability (as processed by Qin et al. 2025)
Sorted by RMSE (test RMSE of pair viability, training set with each gene seen about 10 times on average) (lower is better). The best value in each column is highlighted. Decimals are rounded for display; each value links to the printed value and its source.
| Tested configuration | RMSE (test RMSE of pair viability, training set with each gene seen about 10 times on average) | RMSE (test RMSE of pair viability, training set with each gene seen about 20 times on average) | RMSE (test RMSE of pair viability, training set with each gene seen about 4 times on average) |
|---|---|---|---|
| NAIAD, trained once on a downsampled setEvaluation | 3.0 (0.8) | 2.8 (0.6) | 3.0 (0.6) |
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Combination phenotype prediction from small training sets: test RMSE at fixed average gene frequency
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21 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Comparison: adaptation NAIAD trained once on the downsampled set Context-only references | Qin et al. 2025, Active Learning for Efficient Discovery of Optimal Combinatorial Perturbations (ICML 2025, PMLR 267) Table 1 and Table 6, row 'NAIAD', column 'Horlbeck Jurkat' Version: Proceedings of the 42nd ICML, PMLR 267:50363-50383, 2025; proceedings PDF qin25g.pdf. The arXiv preprint 2411.12010 was not read. | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: pdftotext -layout text layer, parsed by extract/qin2025naiad.py |
| Comparison: aggregation Three cross-fold replicates with standard error printed; the caption does not name the point statistic Context-only references | Qin et al. 2025, Active Learning for Efficient Discovery of Optimal Combinatorial Perturbations (ICML 2025, PMLR 267) Table 1 and Table 6, row 'NAIAD', column 'Horlbeck Jurkat' Version: Proceedings of the 42nd ICML, PMLR 267:50363-50383, 2025; proceedings PDF qin25g.pdf. The arXiv preprint 2411.12010 was not read. | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: pdftotext -layout text layer, parsed by extract/qin2025naiad.py |
| Comparison: budget Not reported Context-only references | Qin et al. 2025, Active Learning for Efficient Discovery of Optimal Combinatorial Perturbations (ICML 2025, PMLR 267) Table 1 and Table 6, row 'NAIAD', column 'Horlbeck Jurkat' Version: Proceedings of the 42nd ICML, PMLR 267:50363-50383, 2025; proceedings PDF qin25g.pdf. The arXiv preprint 2411.12010 was not read. | missing or unspecified No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: pdftotext -layout text layer, parsed by extract/qin2025naiad.py |
| Comparison: dataset version Gene-level viability as processed in Qin et al. 2025 Appendix A.1 Context-only references | Qin et al. 2025, Active Learning for Efficient Discovery of Optimal Combinatorial Perturbations (ICML 2025, PMLR 267) Table 1 and Table 6, row 'NAIAD', column 'Horlbeck Jurkat' Version: Proceedings of the 42nd ICML, PMLR 267:50363-50383, 2025; proceedings PDF qin25g.pdf. The arXiv preprint 2411.12010 was not read. | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: pdftotext -layout text layer, parsed by extract/qin2025naiad.py |
| Comparison: inputs Single-gene viability effects and the measured viability of the training pairs Context-only references | Qin et al. 2025, Active Learning for Efficient Discovery of Optimal Combinatorial Perturbations (ICML 2025, PMLR 267) Table 1 and Table 6, row 'NAIAD', column 'Horlbeck Jurkat' Version: Proceedings of the 42nd ICML, PMLR 267:50363-50383, 2025; proceedings PDF qin25g.pdf. The arXiv preprint 2411.12010 was not read. | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: pdftotext -layout text layer, parsed by extract/qin2025naiad.py |
| Comparison: metric implementation RMSE of predicted pair viability on the test set Context-only references | Qin et al. 2025, Active Learning for Efficient Discovery of Optimal Combinatorial Perturbations (ICML 2025, PMLR 267) Table 1 and Table 6, row 'NAIAD', column 'Horlbeck Jurkat' Version: Proceedings of the 42nd ICML, PMLR 267:50363-50383, 2025; proceedings PDF qin25g.pdf. The arXiv preprint 2411.12010 was not read. | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: pdftotext -layout text layer, parsed by extract/qin2025naiad.py |
| Comparison: population 95,703 two-gene combinations of 437 genes Context-only references | Qin et al. 2025, Active Learning for Efficient Discovery of Optimal Combinatorial Perturbations (ICML 2025, PMLR 267) Table 1 and Table 6, row 'NAIAD', column 'Horlbeck Jurkat' Version: Proceedings of the 42nd ICML, PMLR 267:50363-50383, 2025; proceedings PDF qin25g.pdf. The arXiv preprint 2411.12010 was not read. | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: pdftotext -layout text layer, parsed by extract/qin2025naiad.py |
| Comparison: protocol id pheno-20261022-qin2025-protocol-downsampling-rmse Context-only references | Qin et al. 2025, Active Learning for Efficient Discovery of Optimal Combinatorial Perturbations (ICML 2025, PMLR 267) Table 1 and Table 6, row 'NAIAD', column 'Horlbeck Jurkat' Version: Proceedings of the 42nd ICML, PMLR 267:50363-50383, 2025; proceedings PDF qin25g.pdf. The arXiv preprint 2411.12010 was not read. | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: pdftotext -layout text layer, parsed by extract/qin2025naiad.py |
| Comparison: split Downsampled training set; 10% validation and 30% test Context-only references | Qin et al. 2025, Active Learning for Efficient Discovery of Optimal Combinatorial Perturbations (ICML 2025, PMLR 267) Table 1 and Table 6, row 'NAIAD', column 'Horlbeck Jurkat' Version: Proceedings of the 42nd ICML, PMLR 267:50363-50383, 2025; proceedings PDF qin25g.pdf. The arXiv preprint 2411.12010 was not read. | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: pdftotext -layout text layer, parsed by extract/qin2025naiad.py |
| Evaluation group id qin2025-table1-6 Context-only references | Qin et al. 2025, Active Learning for Efficient Discovery of Optimal Combinatorial Perturbations (ICML 2025, PMLR 267) Table 1 and Table 6, row 'NAIAD', column 'Horlbeck Jurkat' Version: Proceedings of the 42nd ICML, PMLR 267:50363-50383, 2025; proceedings PDF qin25g.pdf. The arXiv preprint 2411.12010 was not read. | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: pdftotext -layout text layer, parsed by extract/qin2025naiad.py |
Release 2026-10-23-5347695500ed · Record review: source checked
Stable ID: pheno-20261022-qin2025-eval-table1-6-naiad-prediction-horlbeck2018-jurkat