bgl3 · Graph CNN
reference_bgl3_gcn_mr5_contiguousf2_20261104-222144
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 | 1.7002 | 0.6268 | 0.6875 | 0.0382 | 152.0000 | 0.0331 | 733.0000 | 0.3000 | -0.2109 | 0.3940 | 0.1000 | 0.0000 | 0.6262 | 0.1600 | -0.4659 | 0.3940 | 0.1000 | 0.0000 | 0.5810 | 0.1600 | -0.4131 | 0.4008 | 0.1200 | 0.0000 | 0.6471 | 0.1562 | -0.4338 | 0.3940 | 0.0938 | 0.0000 | 0.5753 |
| validation | 1.8092 | -0.1079 | -0.1064 | -0.0012 | 38.0000 | -0.0758 | 229.0000 | 0.0000 | -2.5024 | -0.3595 | 0.0000 | 0.0000 | -0.4519 | 0.0000 | -2.3082 | -0.0949 | 0.0000 | 0.0000 | -0.4594 | 0.0000 | -2.2256 | -0.0607 | 0.0300 | 0.0000 | -0.4481 | 0.0000 | -2.2850 | -0.1114 | 0.0000 | 0.0000 | -0.3560 |
| test | 1.9533 | -0.3703 | -0.3569 | -0.0247 | 26.0000 | -0.1132 | 784.0000 | 0.0000 | -3.4132 | -2.1384 | 0.0000 | 0.0000 | -0.8020 | 0.0000 | -3.0912 | -0.1794 | 0.0000 | 0.0000 | -0.7370 | 0.0000 | -2.9417 | -0.1794 | 0.0100 | 0.0000 | -0.7001 | 0.0000 | -3.4689 | -2.1384 | 0.0000 | 0.0000 | -0.8392 |
Loss per epoch
training
validation
Config
name: reference_bgl3_gcn_mr5_contiguousf2 task: dms data: dataset: bgl3 encoding: one_hot,aa_index split_dir: null graph_threshold: 6 split_scheme: contiguous split_fold: 2 min_reads: 5 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