avgfp · Linear
reference_avgfp_lr_plm_randomf3_20261105-035118
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 | 0.3266 | 0.8427 | 0.8613 | 0.7101 | 3066.0000 | 0.2385 | 491.0000 | 0.6000 | 3.8077 | 3.9632 | 0.0000 | 0.0000 | 0.8008 | 0.5600 | 3.7677 | 4.1068 | 0.0600 | 0.0000 | 0.8109 | 0.6100 | 3.7584 | 4.1068 | 0.1000 | 0.0000 | 0.8257 | 0.5864 | 3.7452 | 4.1068 | 0.1574 | 0.0000 | 0.8613 |
| validation | 0.3562 | 0.8257 | 0.8592 | 0.6815 | 1013.0000 | 0.2779 | 747.0000 | 0.3000 | 3.6551 | 3.9633 | 0.0000 | 0.0000 | 0.7339 | 0.5200 | 3.7195 | 4.0139 | 0.0800 | 0.0000 | 0.8152 | 0.5400 | 3.7275 | 4.0268 | 0.1600 | 0.0000 | 0.8437 | 0.5370 | 3.7258 | 4.0268 | 0.1759 | 0.0000 | 0.8451 |
| test | 0.3632 | 0.8226 | 0.8539 | 0.6763 | 965.0000 | 0.2530 | 326.0000 | 0.7000 | 3.7034 | 3.8119 | 0.0000 | 0.0000 | 0.7739 | 0.4800 | 3.6964 | 3.9840 | 0.0400 | 0.0000 | 0.8075 | 0.5100 | 3.6904 | 4.0564 | 0.0900 | 0.0000 | 0.8232 | 0.5093 | 3.6933 | 4.0564 | 0.0926 | 0.0000 | 0.8280 |
Loss per epoch
training
validation
Config
name: reference_avgfp_lr_plm_randomf3 task: dms data: dataset: avgfp encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: random split_fold: 3 model: name: lr train: epochs: 300 batch_size: 128 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7