avgfp · Graph CNN
reference_avgfp_gcn_plm_modulof1_20261104-181120
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 | 0.6615 | 0.6375 | 0.5845 | 0.2742 | 1273.0000 | 0.0442 | 50.0000 | 0.3000 | 3.6125 | 3.8918 | 0.0000 | 0.0000 | 0.5881 | 0.4800 | 3.6309 | 4.0956 | 0.0200 | 0.0000 | 0.6457 | 0.4100 | 3.5839 | 4.0956 | 0.0600 | 0.0000 | 0.6219 | 0.4607 | 3.6141 | 4.0956 | 0.0674 | 0.0000 | 0.6500 |
| validation | 0.4352 | 0.2823 | 0.2121 | 0.0637 | 135.0000 | -0.0590 | 55.0000 | 0.0000 | 3.1741 | 3.4812 | 0.0000 | 0.0000 | -0.3165 | 0.1600 | 3.5194 | 3.7903 | 0.0200 | 0.0000 | 0.3508 | 0.1800 | 3.5512 | 3.9367 | 0.1300 | 0.0000 | 0.4527 | 0.0000 | 3.1087 | 3.4746 | 0.0000 | 0.0000 | -0.4276 |
| test | 0.4840 | 0.2218 | 0.1865 | 0.0419 | 216.0000 | -0.0573 | 363.0000 | 0.0000 | 3.2514 | 3.6608 | 0.0000 | 0.0000 | -0.1007 | 0.2000 | 3.3384 | 3.7775 | 0.0000 | 0.0000 | 0.0356 | 0.1900 | 3.3979 | 3.8521 | 0.0400 | 0.0000 | 0.1558 | 0.0000 | 3.2589 | 3.6608 | 0.0000 | 0.0000 | -0.0905 |
Loss per epoch
training
validation
Config
name: reference_avgfp_gcn_plm_modulof1 task: dms data: dataset: avgfp encoding: one_hot,aa_index,plm,plm_sum split_dir: null graph_threshold: 7 split_scheme: modulo split_fold: 1 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