avgfp · Graph CNN
reference_avgfp_gcn_contiguousf2_20261104-163841
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 | 0.3304 | 0.8263 | 0.7689 | 0.6716 | 835.0000 | 0.1037 | 355.0000 | 0.7000 | 3.7526 | 3.8478 | 0.0000 | 0.0000 | 0.7871 | 0.3200 | 3.6269 | 3.9084 | 0.0200 | 0.0000 | 0.7159 | 0.3500 | 3.6316 | 3.9404 | 0.0600 | 0.0000 | 0.7435 | 0.2917 | 3.6256 | 3.9122 | 0.0278 | 0.0000 | 0.7261 |
| validation | 0.2818 | -0.2266 | -0.0761 | -0.1902 | 366.0000 | -0.0192 | 746.0000 | 0.2000 | 3.1770 | 3.7572 | 0.0000 | 0.0000 | -0.6633 | 0.1600 | 3.1274 | 4.0378 | 0.0200 | 0.0000 | -0.9904 | 0.2000 | 3.0064 | 4.0378 | 0.0700 | 0.0000 | -1.4653 | 0.1538 | 2.7687 | 3.7572 | 0.0000 | 0.0000 | -1.4957 |
| test | 0.5406 | -0.0597 | -0.0471 | -0.0830 | 142.0000 | -0.1381 | 482.0000 | 0.0000 | 2.0940 | 3.6720 | 0.0000 | 0.0000 | -2.0586 | 0.1000 | 2.7955 | 3.8098 | 0.0200 | 0.0000 | -1.0301 | 0.1000 | 2.8179 | 3.8098 | 0.0600 | 0.0000 | -1.0673 | 0.0000 | 2.2384 | 3.6830 | 0.0000 | 0.0000 | -1.8334 |
Loss per epoch
training
validation
Config
name: reference_avgfp_gcn_contiguousf2 task: dms data: dataset: avgfp encoding: one_hot,aa_index split_dir: null graph_threshold: 7 split_scheme: contiguous split_fold: 2 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