bgl3 · Graph CNN
reference_bgl3_gcn_mr5_contiguousf1_20261104-221945
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 | 1.7545 | 0.6006 | 0.6942 | 0.0507 | 151.0000 | 0.0531 | 230.0000 | 0.2000 | -0.4359 | 0.3940 | 0.0000 | 0.0000 | 0.5106 | 0.1600 | -0.4236 | 0.3940 | 0.0800 | 0.0000 | 0.6029 | 0.1300 | -0.5586 | 0.3940 | 0.1100 | 0.0000 | 0.5738 | 0.1471 | -0.4236 | 0.3940 | 0.0882 | 0.0000 | 0.5819 |
| validation | 1.9113 | -0.2867 | -0.3036 | -0.0027 | 26.0000 | 0.0338 | 412.0000 | 0.0000 | -3.4994 | -2.6492 | 0.0000 | 0.0000 | -0.8436 | 0.0000 | -3.0664 | -0.4150 | 0.0000 | 0.0000 | -0.7233 | 0.0000 | -2.7900 | -0.1794 | 0.0100 | 0.0000 | -0.6108 | 0.0000 | -3.4492 | -2.6492 | 0.0000 | 0.0000 | -0.8296 |
| test | 1.6782 | -0.2094 | -0.1865 | -0.1696 | 40.0000 | 0.2887 | 131.0000 | 0.0000 | -3.0967 | -1.8019 | 0.0000 | 0.0000 | -1.0821 | 0.0200 | -2.4210 | 0.1840 | 0.0200 | 0.0000 | -0.8507 | 0.0100 | -2.2656 | 0.1840 | 0.0300 | 0.0000 | -0.8044 | 0.0000 | -3.0244 | -1.8019 | 0.0000 | 0.0000 | -1.0224 |
Loss per epoch
training
validation
Config
name: reference_bgl3_gcn_mr5_contiguousf1 task: dms data: dataset: bgl3 encoding: one_hot,aa_index split_dir: null graph_threshold: 6 split_scheme: contiguous split_fold: 1 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