avgfp · Linear
reference_avgfp_lr_plm_randomf1_20261104-180139
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 | 0.3369 | 0.8375 | 0.8556 | 0.7001 | 3013.0000 | 0.2472 | 1288.0000 | 0.8000 | 3.7599 | 3.9081 | 0.0000 | 0.0000 | 0.7851 | 0.6000 | 3.7327 | 4.1068 | 0.0600 | 0.0000 | 0.7952 | 0.5800 | 3.7288 | 4.1068 | 0.0500 | 0.0000 | 0.8106 | 0.5309 | 3.7183 | 4.1068 | 0.1173 | 0.0000 | 0.8416 |
| validation | 0.3652 | 0.8214 | 0.8532 | 0.6738 | 1006.0000 | 0.2310 | 85.0000 | 0.6000 | 3.7587 | 3.9632 | 0.0000 | 0.0000 | 0.8084 | 0.4800 | 3.7133 | 4.0042 | 0.1000 | 0.0000 | 0.8183 | 0.5100 | 3.7149 | 4.1079 | 0.1600 | 0.0000 | 0.8429 | 0.5185 | 3.7190 | 4.1079 | 0.1944 | 0.0000 | 0.8491 |
| test | 0.3690 | 0.8212 | 0.8495 | 0.6735 | 1025.0000 | 0.2030 | 362.0000 | 0.7000 | 3.5581 | 3.9545 | 0.0000 | 0.0000 | 0.6418 | 0.5600 | 3.6833 | 4.0860 | 0.0800 | 0.0000 | 0.7794 | 0.4900 | 3.6929 | 4.0860 | 0.0900 | 0.0000 | 0.8136 | 0.4722 | 3.6906 | 4.0860 | 0.0833 | 0.0000 | 0.8149 |
Loss per epoch
training
validation
Config
name: reference_avgfp_lr_plm_randomf1 task: dms data: dataset: avgfp encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: random split_fold: 1 model: name: lr train: epochs: 300 batch_size: 128 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7