avgfp · Graph CNN
reference_avgfp_gcn_plm_contiguousf4_20261105-043228
Metrics
| Set | mse | pearsonr | spearmanr | r2 | above_wt_n | above_wt_spearmanr | budget_to_max | hit_rate_at_10 | mean_at_10 | max_at_10 | precision_at_10 | tie_share_at_10 | captured_at_10 | hit_rate_at_50 | mean_at_50 | max_at_50 | precision_at_50 | tie_share_at_50 | captured_at_50 | hit_rate_at_100 | mean_at_100 | max_at_100 | precision_at_100 | tie_share_at_100 | captured_at_100 | hit_rate_at_1pct | mean_at_1pct | max_at_1pct | precision_at_1pct | tie_share_at_1pct | captured_at_1pct |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| train | 0.5307 | 0.6928 | 0.6280 | 0.4185 | 1613.0000 | 0.1009 | 1416.0000 | 0.2000 | 3.3851 | 3.9194 | 0.0000 | 0.0000 | 0.3599 | 0.2800 | 3.5412 | 3.9194 | 0.0000 | 0.0000 | 0.5418 | 0.3100 | 3.5540 | 3.9194 | 0.0100 | 0.0000 | 0.5775 | 0.3136 | 3.5450 | 3.9194 | 0.0169 | 0.0000 | 0.5735 |
| validation | 0.6305 | 0.3916 | 0.2813 | 0.1122 | 109.0000 | 0.0074 | 106.0000 | 0.1000 | 2.6847 | 3.7490 | 0.0000 | 0.0000 | -0.6492 | 0.1200 | 3.1988 | 3.8978 | 0.0400 | 0.0000 | 0.0343 | 0.1600 | 3.3959 | 3.9630 | 0.1500 | 0.0000 | 0.3602 | 0.1429 | 2.9043 | 3.7490 | 0.0000 | 0.0000 | -0.3507 |
| test | 0.4676 | 0.2322 | 0.1728 | -0.1417 | 156.0000 | -0.0151 | 706.0000 | 0.0000 | 2.6966 | 3.6697 | 0.0000 | 0.0000 | -1.4371 | 0.2200 | 3.3633 | 3.8356 | 0.0800 | 0.0000 | -0.0878 | 0.2100 | 3.4530 | 3.8720 | 0.1300 | 0.0000 | 0.1292 | 0.0000 | 2.7164 | 3.6473 | 0.0000 | 0.0000 | -1.3772 |
Loss per epoch
training
validation
Config
name: reference_avgfp_gcn_plm_contiguousf4 task: dms data: dataset: avgfp encoding: one_hot,aa_index,plm,plm_sum split_dir: null graph_threshold: 7 split_scheme: contiguous split_fold: 4 model: name: gcn filters: - 128 - 128 hidden: - 100 dropout: 0.2 train: epochs: 300 batch_size: 32 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7