ube4b · Graph CNN
reference_ube4b_gcn_modulof4_20261104-170310
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 | 3.8667 | 0.2706 | 0.2179 | 0.0027 | 6783.0000 | 0.2849 | 479.0000 | 0.5000 | 0.3802 | 3.8464 | 0.0000 | 0.0000 | 0.1926 | 0.5800 | 0.3278 | 4.0717 | 0.0000 | 0.0000 | 0.2192 | 0.6700 | 0.8722 | 6.1942 | 0.0300 | 0.0000 | 0.3155 | 0.6788 | 0.8193 | 7.5541 | 0.0828 | 0.0000 | 0.3520 |
| validation | 3.2686 | -0.0722 | -0.0553 | -0.0016 | 645.0000 | 0.0645 | 594.0000 | 0.0000 | -2.6684 | -1.7450 | 0.0000 | 0.0000 | -0.2529 | 0.0600 | -2.8706 | 1.9306 | 0.0000 | 0.0000 | -0.3613 | 0.1000 | -2.5841 | 3.0492 | 0.0300 | 0.0000 | -0.3412 | 0.0714 | -2.4950 | 1.9306 | 0.0000 | 0.0000 | -0.2551 |
| test | 3.6170 | -0.0437 | -0.0633 | -0.0450 | 318.0000 | 0.0847 | 138.0000 | 0.2000 | -1.3905 | 0.8535 | 0.0000 | 0.0000 | 0.0381 | 0.1200 | -2.3158 | 1.4932 | 0.0000 | 0.0000 | -0.1715 | 0.1300 | -2.0475 | 3.6064 | 0.0600 | 0.0000 | -0.1256 | 0.1111 | -2.3081 | 0.8535 | 0.0000 | 0.0000 | -0.1390 |
Loss per epoch
training
validation
Config
name: reference_ube4b_gcn_modulof4 task: dms data: dataset: ube4b encoding: one_hot,aa_index split_dir: null graph_threshold: 7 split_scheme: modulo split_fold: 4 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