Dataset and cohort used in the cited comparison. Dataset population counts do not establish successful prediction coverage.
14 evaluations · 14 results. Different protocols are not a single leaderboard.
Applied filters: All linked evaluations
| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: Shallow CNN / UW | Protocol: SugarBase taxonomy · Mean Acc (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Mean Acc | 62.87(0.87)% Accuracy (mean over 8 taxonomy ranks) percent · higher Uncertainty: SD 0.87 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / UW: SugarBase taxonomy · Mean Acc Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, Shallow CNN, UW, column Mean Acc (%) |
| Configuration: RGCN / N-MTL | Protocol: SugarBase taxonomy · Mean Acc (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Mean Acc | 64.45(0.40)% Accuracy (mean over 8 taxonomy ranks) percent · higher Uncertainty: SD 0.4 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / N-MTL: SugarBase taxonomy · Mean Acc Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, RGCN, N-MTL, column Mean Acc (%) |
| Configuration: Shallow CNN / GN | Protocol: SugarBase taxonomy · Mean Acc (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Mean Acc | 63.13(0.25)% Accuracy (mean over 8 taxonomy ranks) percent · higher Uncertainty: SD 0.25 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / GN: SugarBase taxonomy · Mean Acc Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, Shallow CNN, GN, column Mean Acc (%) |
| Configuration: RGCN / TS | Protocol: SugarBase taxonomy · Mean Acc (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Mean Acc | 66.68(0.23)% Accuracy (mean over 8 taxonomy ranks) percent · higher Uncertainty: SD 0.23 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / TS: SugarBase taxonomy · Mean Acc Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, RGCN, TS, column Mean Acc (%) |
| Configuration: RGCN / GN | Protocol: SugarBase taxonomy · Mean Acc (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Mean Acc | 63.83(0.65)% Accuracy (mean over 8 taxonomy ranks) percent · higher Uncertainty: SD 0.65 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / GN: SugarBase taxonomy · Mean Acc Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, RGCN, GN, column Mean Acc (%) |
| Configuration: Shallow CNN / DTP | Protocol: SugarBase taxonomy · Mean Acc (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Mean Acc | 62.83(0.45)% Accuracy (mean over 8 taxonomy ranks) percent · higher Uncertainty: SD 0.45 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / DTP: SugarBase taxonomy · Mean Acc Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, Shallow CNN, DTP, column Mean Acc (%) |
| Configuration: Shallow CNN / N-MTL | Protocol: SugarBase taxonomy · Mean Acc (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Mean Acc | 63.49(0.55)% Accuracy (mean over 8 taxonomy ranks) percent · higher Uncertainty: SD 0.55 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / N-MTL: SugarBase taxonomy · Mean Acc Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, Shallow CNN, N-MTL, column Mean Acc (%) |
| Configuration: RGCN / UW | Protocol: SugarBase taxonomy · Mean Acc (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Mean Acc | 64.90(0.39)% Accuracy (mean over 8 taxonomy ranks) percent · higher Uncertainty: SD 0.39 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / UW: SugarBase taxonomy · Mean Acc Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, RGCN, UW, column Mean Acc (%) |
| Configuration: RGCN / DWA | Protocol: SugarBase taxonomy · Mean Acc (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Mean Acc | 63.65(0.25)% Accuracy (mean over 8 taxonomy ranks) percent · higher Uncertainty: SD 0.25 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / DWA: SugarBase taxonomy · Mean Acc Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, RGCN, DWA, column Mean Acc (%) |
| Configuration: Shallow CNN / TS | Protocol: SugarBase taxonomy · Mean Acc (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Mean Acc | 63.77(0.19)% Accuracy (mean over 8 taxonomy ranks) percent · higher Uncertainty: SD 0.19 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / TS: SugarBase taxonomy · Mean Acc Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, Shallow CNN, TS, column Mean Acc (%) |
| Configuration: Shallow CNN | Protocol: SugarBase taxonomy · Mean Acc (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Mean Acc | 63.47(0.42)% Accuracy (mean over 8 taxonomy ranks) percent · higher Uncertainty: SD 0.42 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN: SugarBase taxonomy · Mean Acc Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, Shallow CNN, Single-Task, column Mean Acc (%) |
| Configuration: RGCN | Protocol: SugarBase taxonomy · Mean Acc (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Mean Acc | 65.05(0.21)% Accuracy (mean over 8 taxonomy ranks) percent · higher Uncertainty: SD 0.21 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN: SugarBase taxonomy · Mean Acc Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, RGCN, Single-Task, column Mean Acc (%) |
| Configuration: Shallow CNN / DWA | Protocol: SugarBase taxonomy · Mean Acc (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Mean Acc | 61.88(0.90)% Accuracy (mean over 8 taxonomy ranks) percent · higher Uncertainty: SD 0.9 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / DWA: SugarBase taxonomy · Mean Acc Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, Shallow CNN, DWA, column Mean Acc (%) |
| Configuration: RGCN / DTP | Protocol: SugarBase taxonomy · Mean Acc (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Mean Acc | 64.15(0.25)% Accuracy (mean over 8 taxonomy ranks) percent · higher Uncertainty: SD 0.25 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / DTP: SugarBase taxonomy · Mean Acc Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, RGCN, DTP, column Mean Acc (%) |
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4 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Source location Table 4, p. 9, Mean Acc (%) Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 4, p. 9, Mean Acc (%) Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Split SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 4, p. 9, Mean Acc (%) Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Description Dataset and cohort used in the cited comparison. Dataset population counts do not establish successful prediction coverage. Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 4, p. 9, Mean Acc (%) Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Name SugarBase taxonomy · Mean Acc Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 4, p. 9, Mean Acc (%) Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
Release 2026-11-02-a7f03c9e55a5 · Record review: needs review
Stable ID: paper-dataset-3b08dc110e25f5011e