ube4b · Graph CNN
reference_ube4b_gcn_contiguousf2_20261104-164650
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 | 2.9449 | 0.1961 | 0.1908 | 0.0034 | 9957.0000 | 0.0381 | 5465.0000 | 0.4000 | -0.1603 | 1.5346 | 0.0000 | 0.0000 | 0.1431 | 0.4600 | -0.1785 | 2.5524 | 0.0000 | 0.0000 | 0.1662 | 0.4600 | -0.1808 | 2.5524 | 0.0000 | 0.0000 | 0.1806 | 0.4299 | -0.3914 | 4.7855 | 0.0093 | 0.0000 | 0.1774 |
| validation | 4.2110 | -0.0505 | -0.0507 | -0.1219 | 323.0000 | -0.0400 | 1760.0000 | 0.0000 | -2.0822 | -0.9763 | 0.0000 | 0.0000 | -0.0160 | 0.0600 | -2.1343 | 2.1706 | 0.0000 | 0.0000 | -0.0296 | 0.0600 | -2.3719 | 2.9270 | 0.0300 | 0.0000 | -0.0842 | 0.0800 | -1.8904 | 2.1133 | 0.0000 | 0.0000 | 0.0132 |
| test | 5.8974 | -0.1290 | -0.0800 | -0.0168 | 88.0000 | -0.3440 | 354.0000 | 0.1000 | -1.7862 | 0.9755 | 0.0000 | 0.0000 | -0.0305 | 0.1200 | -2.0008 | 1.6556 | 0.0200 | 0.0000 | -0.0878 | 0.1400 | -1.9513 | 1.8425 | 0.1700 | 0.0000 | -0.1067 | 0.0000 | -2.2922 | -1.1283 | 0.0000 | 0.0000 | -0.0990 |
Loss per epoch
training
validation
Config
name: reference_ube4b_gcn_contiguousf2 task: dms data: dataset: ube4b encoding: one_hot,aa_index split_dir: null graph_threshold: 7 split_scheme: contiguous split_fold: 2 model: name: gcn filters: - 128 - 128 - 128 hidden: - 100 dropout: 0.2 train: epochs: 300 batch_size: 128 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7