PerturBench evaluation of Linear on combination prediction on Norman19, RMSE of the mean, scored with RMSE of the mean.
1 evaluation · 1 result. Different protocols are not a single leaderboard.
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| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: Linear | Task: PerturBench CB-RMSE: combination prediction on Norman19, RMSE of the mean Dataset subset: Norman19 (PerturBench split) | 0.057 ± 3 × 10 − 3 Perturbench RMSE of mean unit-unreported · lower Uncertainty: SD 0.003 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceLinear on PerturBench CB-RMSE: combination prediction on Norman19, RMSE of the mean Predict the effect of a pair of gene overexpressions from single perturbations, reported as the mean and one standard deviation over seeds. Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis · Table 3, row(Linear), column(RMSE, mean) |
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Predict the effect of a pair of gene overexpressions from single perturbations, reported as the mean and one standard deviation over seeds.
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10 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Comparison: metric implementation RMSE of the mean Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Table 3, row(Linear), column(RMSE, mean) Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Comparison: protocol id perturbench-task-cb-rmse Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Table 3, row(Linear), column(RMSE, mean) Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Origin author_reported Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Table 3, row(Linear), column(RMSE, mean) Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Protocol Predict the effect of a pair of gene overexpressions from single perturbations, reported as the mean and one standard deviation over seeds. Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Table 3, row(Linear), column(RMSE, mean) Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Source location Table 3, row(Linear), column(RMSE, mean) Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Table 3, row(Linear), column(RMSE, mean) Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Description PerturBench evaluation of Linear on combination prediction on Norman19, RMSE of the mean, scored with RMSE of the mean. Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Table 3, row(Linear), column(RMSE, mean) Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Relationship: assessment perturbench-task-cb-rmse Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Table 3, row(Linear), column(RMSE, mean) Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Relationship: data perturbench-dataset-norman19 Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Table 3, row(Linear), column(RMSE, mean) Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Relationship: system perturbench-method-linear Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Table 3, row(Linear), column(RMSE, mean) Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Name Linear on PerturBench CB-RMSE: combination prediction on Norman19, RMSE of the mean Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Table 3, row(Linear), column(RMSE, mean) Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
Release 2026-11-02-a7f03c9e55a5 · Record review: source checked
Stable ID: perturbench-evaluation-linear-cb-rmse