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22 evaluations · 22 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 | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 45.27(1.52)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 1.52; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN: SugarBase taxonomy · Family Author-reported single-task models on the same held-out task; not a cross-paper ranking. 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 3, row Shallow CNN, column Family |
| Configuration: Shallow CNN / DWA | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 41.57(2.17)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 2.17; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / DWA: SugarBase taxonomy · Family 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 Family |
| Configuration: CompGCN | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 44.03(1.51)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 1.51; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCompGCN: SugarBase taxonomy · Family Author-reported single-task models on the same held-out task; not a cross-paper ranking. 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 3, row CompGCN, column Family |
| Configuration: GCN | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 34.93(0.76)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 0.76; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGCN: SugarBase taxonomy · Family Author-reported single-task models on the same held-out task; not a cross-paper ranking. 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 3, row GCN, column Family |
| Configuration: Shallow CNN / GN | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 42.40(1.49)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 1.49; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / GN: SugarBase taxonomy · Family 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 Family |
| Configuration: RGCN / DWA | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 44.11(1.24)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 1.24; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / DWA: SugarBase taxonomy · Family 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 Family |
| Configuration: MPNN | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 41.60(0.64)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 0.64; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceMPNN: SugarBase taxonomy · Family Author-reported single-task models on the same held-out task; not a cross-paper ranking. 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 3, row MPNN, column Family |
| Configuration: Shallow CNN / DTP | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 42.76(2.02)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 2.02; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / DTP: SugarBase taxonomy · Family 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 Family |
| Configuration: GAT | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 37.50(0.91)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 0.91; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGAT: SugarBase taxonomy · Family Author-reported single-task models on the same held-out task; not a cross-paper ranking. 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 3, row GAT, column Family |
| Configuration: RGCN / GN | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 44.11(0.13)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 0.13; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / GN: SugarBase taxonomy · Family 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 Family |
| Configuration: Shallow CNN / TS | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 45.19(2.50)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 2.5; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / TS: SugarBase taxonomy · Family 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 Family |
| Configuration: GIN | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 40.04(0.86)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 0.86; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGIN: SugarBase taxonomy · Family Author-reported single-task models on the same held-out task; not a cross-paper ranking. 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 3, row GIN, column Family |
| Configuration: RGCN / N-MTL | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 45.67(1.64)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 1.64; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / N-MTL: SugarBase taxonomy · Family 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 Family |
| Configuration: RGCN / TS | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 47.99(0.22)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 0.22; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / TS: SugarBase taxonomy · Family 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 Family |
| Configuration: Shallow CNN / N-MTL | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 44.11(1.63)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 1.63; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / N-MTL: SugarBase taxonomy · Family 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 Family |
| Configuration: ResNet | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 37.36(0.99)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 0.99; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceResNet: SugarBase taxonomy · Family Author-reported single-task models on the same held-out task; not a cross-paper ranking. 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 3, row ResNet, column Family |
| Configuration: Transformer | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 33.30(0.86)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 0.86; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceTransformer: SugarBase taxonomy · Family Author-reported single-task models on the same held-out task; not a cross-paper ranking. 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 3, row Transformer, column Family |
| Configuration: Shallow CNN / UW | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 44.40(0.00)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 0; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / UW: SugarBase taxonomy · Family 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 Family |
| Configuration: RGCN / UW | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 44.90(0.88)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 0.88; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / UW: SugarBase taxonomy · Family 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 Family |
| Configuration: RGCN / DTP | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 44.29(0.47)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 0.47; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / DTP: SugarBase taxonomy · Family 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 Family |
| Configuration: RGCN | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 46.35(0.50)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 0.5; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN: SugarBase taxonomy · Family Author-reported single-task models on the same held-out task; not a cross-paper ranking. 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 3, row RGCN, column Family |
| Configuration: LSTM | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 38.74(1.47)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 1.47; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceLSTM: SugarBase taxonomy · Family Author-reported single-task models on the same held-out task; not a cross-paper ranking. 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 3, row LSTM, column Family |
Source checking is not independent reproduction. Release 2026-09-29-06401fd5b220.
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Trace each statement to its source and review. A context-only reference supports the record generally; it does not verify an individual field. Source checking does not reproduce an experiment.
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7 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.reported_population.note Dataset split sizes, not per-model scored counts. Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Family 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. |
attributes.reported_population.train_validation_test3 values
| GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Family 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. |
| attributes.source_locator Table 3, p. 8, Family Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Family 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. |
| attributes.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 3, p. 8, Family 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. |
| attributes.subset Not reported Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Family Version: arXiv:2405.16206v1, 2024-05-25 | missing or unspecified 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 3, p. 8, Family 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 · Family Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Family 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. |
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Stable ID: paper-dataset-8d5d79e4a6a070bfff