avgfp · Linear
reference_avgfp_lr_plm_randomf4_20261105-041139
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 | 0.3292 | 0.8412 | 0.8589 | 0.7071 | 2996.0000 | 0.2406 | 1540.0000 | 0.7000 | 3.7832 | 3.9563 | 0.0000 | 0.0000 | 0.7844 | 0.6000 | 3.7542 | 3.9632 | 0.0000 | 0.0000 | 0.8086 | 0.5400 | 3.7312 | 4.0860 | 0.0600 | 0.0000 | 0.8126 | 0.5525 | 3.7315 | 4.0860 | 0.1265 | 0.0000 | 0.8539 |
| validation | 0.3636 | 0.8237 | 0.8514 | 0.6781 | 1035.0000 | 0.1912 | 15.0000 | 0.5000 | 3.5185 | 3.8291 | 0.0000 | 0.0000 | 0.6289 | 0.6000 | 3.6938 | 4.1068 | 0.0600 | 0.0000 | 0.7903 | 0.5300 | 3.6921 | 4.1068 | 0.0700 | 0.0000 | 0.8158 | 0.5278 | 3.6907 | 4.1068 | 0.0648 | 0.0000 | 0.8176 |
| test | 0.3551 | 0.8262 | 0.8548 | 0.6825 | 1013.0000 | 0.2373 | 813.0000 | 0.5000 | 3.6602 | 3.9081 | 0.0000 | 0.0000 | 0.7376 | 0.5800 | 3.7180 | 4.0139 | 0.0400 | 0.0000 | 0.8141 | 0.5100 | 3.7117 | 4.0139 | 0.0900 | 0.0000 | 0.8313 | 0.5185 | 3.7139 | 4.0139 | 0.1019 | 0.0000 | 0.8358 |
Loss per epoch
training
validation
Config
name: reference_avgfp_lr_plm_randomf4 task: dms data: dataset: avgfp encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: random 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