avgfp · Graph CNN
reference_avgfp_gcn_plm_contiguousf2_20261104-184351
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 | 0.2259 | 0.8839 | 0.8183 | 0.7755 | 835.0000 | 0.0828 | 32.0000 | 0.6000 | 3.7025 | 3.8389 | 0.0000 | 0.0000 | 0.7432 | 0.4600 | 3.6825 | 4.0311 | 0.0600 | 0.0000 | 0.7675 | 0.5000 | 3.6980 | 4.0311 | 0.1100 | 0.0000 | 0.8071 | 0.5278 | 3.7004 | 4.0311 | 0.0972 | 0.0000 | 0.7966 |
| validation | 0.3211 | -0.1437 | -0.0592 | -0.3563 | 366.0000 | -0.0304 | 626.0000 | 0.3000 | 3.4476 | 3.8285 | 0.0000 | 0.0000 | -0.1481 | 0.1800 | 3.2926 | 3.8863 | 0.0200 | 0.0000 | -0.5793 | 0.1800 | 3.1912 | 3.8863 | 0.0500 | 0.0000 | -0.9435 | 0.2308 | 3.4673 | 3.8285 | 0.0000 | 0.0000 | -0.1147 |
| test | 0.5417 | -0.0055 | 0.0017 | -0.0852 | 142.0000 | -0.1354 | 435.0000 | 0.0000 | 2.3217 | 3.6830 | 0.0000 | 0.0000 | -1.6780 | 0.1000 | 2.7406 | 3.8098 | 0.0200 | 0.0000 | -1.1368 | 0.1000 | 2.9191 | 3.8098 | 0.0500 | 0.0000 | -0.8544 | 0.0000 | 2.2831 | 3.6830 | 0.0000 | 0.0000 | -1.7582 |
Loss per epoch
training
validation
Config
name: reference_avgfp_gcn_plm_contiguousf2 task: dms data: dataset: avgfp encoding: one_hot,aa_index,plm,plm_sum 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