bgl3 · Graph CNN
reference_bgl3_gcn_contiguousf4_20261104-170441
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 | 1.6905 | 0.4999 | 0.4610 | 0.1415 | 5893.0000 | 0.1080 | 9043.0000 | 0.8000 | 0.7452 | 1.6946 | 0.0000 | 0.0000 | 0.3215 | 0.7600 | 0.7921 | 1.6946 | 0.0000 | 0.0000 | 0.3739 | 0.6800 | 0.6262 | 2.9405 | 0.0200 | 0.0000 | 0.3347 | 0.6645 | 0.5892 | 2.9405 | 0.0329 | 0.0000 | 0.3324 |
| validation | 2.0203 | -0.0829 | -0.1122 | -0.0081 | 1218.0000 | -0.0526 | 3988.0000 | 0.2000 | -0.9016 | 1.2150 | 0.0000 | 0.0000 | -0.0638 | 0.2800 | -0.5697 | 1.9459 | 0.0000 | 0.0000 | 0.0363 | 0.2800 | -0.6319 | 2.0841 | 0.0200 | 0.0000 | 0.0166 | 0.2326 | -0.7246 | 1.9459 | 0.0000 | 0.0000 | -0.0155 |
| test | 1.9498 | -0.1455 | -0.1587 | -0.0979 | 1997.0000 | -0.0238 | 4543.0000 | 0.3000 | -0.9550 | 1.0480 | 0.0000 | 0.0000 | -0.2584 | 0.2800 | -0.6247 | 1.7856 | 0.0000 | 0.0000 | -0.1690 | 0.2700 | -0.7901 | 2.2054 | 0.0500 | 0.0000 | -0.2492 | 0.2979 | -0.5855 | 1.7856 | 0.0000 | 0.0000 | -0.1530 |
Loss per epoch
training
validation
Config
name: reference_bgl3_gcn_contiguousf4 task: dms data: dataset: bgl3 encoding: one_hot,aa_index split_dir: null graph_threshold: 6 split_scheme: contiguous split_fold: 4 model: name: gcn filters: - 32 hidden: - 100 dropout: 0.2 train: epochs: 300 batch_size: 128 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7