avgfp · Linear
reference_avgfp_lr_plm_contiguousf4_20261105-043231
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 | 0.3982 | 0.7825 | 0.7314 | 0.5636 | 1613.0000 | 0.1739 | 3003.0000 | 0.3000 | 3.6764 | 3.8524 | 0.0000 | 0.0000 | 0.6334 | 0.3200 | 3.6527 | 3.9104 | 0.0000 | 0.0000 | 0.6538 | 0.3100 | 3.6340 | 4.1079 | 0.0500 | 0.0000 | 0.6611 | 0.3136 | 3.6218 | 4.1079 | 0.0593 | 0.0000 | 0.6546 |
| validation | 0.8093 | 0.0038 | 0.1126 | -0.1396 | 109.0000 | 0.1617 | 200.0000 | 0.0000 | 2.0758 | 3.6220 | 0.0000 | 0.0000 | -1.4531 | 0.1600 | 2.6954 | 3.8998 | 0.0800 | 0.0000 | -0.7388 | 0.1700 | 2.9916 | 3.9178 | 0.1600 | 0.0000 | -0.3036 | 0.0000 | 2.3530 | 3.6220 | 0.0000 | 0.0000 | -1.0606 |
| test | 0.4847 | 0.0339 | 0.0169 | -0.1834 | 156.0000 | 0.0165 | 395.0000 | 0.1000 | 3.3137 | 3.8226 | 0.0000 | 0.0000 | -0.1786 | 0.1800 | 3.3869 | 3.8695 | 0.0600 | 0.0000 | -0.0333 | 0.1700 | 3.3498 | 3.8695 | 0.0900 | 0.0000 | -0.1286 | 0.1250 | 3.2720 | 3.8226 | 0.0000 | 0.0000 | -0.2600 |
Loss per epoch
training
validation
Config
name: reference_avgfp_lr_plm_contiguousf4 task: dms data: dataset: avgfp encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: contiguous split_fold: 4 model: name: lr train: epochs: 300 batch_size: 128 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7