avgfp · Graph CNN
reference_avgfp_gcn_plm_contiguousf3_20261105-040427
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 | 0.6486 | 0.6996 | 0.6637 | 0.3746 | 805.0000 | 0.0454 | 2376.0000 | 0.4000 | 3.6990 | 3.8802 | 0.0000 | 0.0000 | 0.7226 | 0.3000 | 3.3610 | 3.8973 | 0.0000 | 0.0000 | 0.4801 | 0.2800 | 3.3901 | 4.0860 | 0.0400 | 0.0000 | 0.5245 | 0.2857 | 3.4037 | 4.0860 | 0.0357 | 0.0000 | 0.5316 |
| validation | 0.4160 | 0.1765 | 0.1375 | -0.0158 | 156.0000 | -0.0945 | 703.0000 | 0.1000 | 3.1877 | 3.7411 | 0.0000 | 0.0000 | -0.4355 | 0.2600 | 3.4680 | 3.8356 | 0.0600 | 0.0000 | 0.1542 | 0.2300 | 3.4192 | 3.8356 | 0.1300 | 0.0000 | 0.0447 | 0.0000 | 3.0532 | 3.7130 | 0.0000 | 0.0000 | -0.7000 |
| test | 0.2854 | -0.0035 | 0.0062 | -0.2055 | 366.0000 | 0.0298 | 313.0000 | 0.2000 | 3.5288 | 3.8380 | 0.0000 | 0.0000 | 0.0067 | 0.1400 | 3.3783 | 3.9594 | 0.0200 | 0.0000 | -0.3661 | 0.1700 | 3.4538 | 3.9594 | 0.0600 | 0.0000 | -0.2019 | 0.1538 | 3.3446 | 3.8380 | 0.0000 | 0.0000 | -0.3573 |
Loss per epoch
training
validation
Config
name: reference_avgfp_gcn_plm_contiguousf3 task: dms data: dataset: avgfp encoding: one_hot,aa_index,plm,plm_sum split_dir: null graph_threshold: 7 split_scheme: contiguous split_fold: 3 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