| ============================================================================================================== | |
| Dataset: lipophil — Control vs competitors (NB-corrected t on outer folds; Holm across competitors) | |
| ============================================================================================================== | |
| Control exp_id: polyatomic_polyatomic | |
| k folds: 5, alpha: 0.05 | |
| Model (exp_id) | Test RMSE (95% CI) | Test MAE (95% CI) | Val RMSE mean±sd | Val MAE mean±sd | |
| ----------------------------------------------------------------------------------------------------------------------------------------------- | |
| gat_ecfp | 0.862967 [0.812183, 0.912302] | 0.658228 [0.619103, 0.696421] | 0.874813 ± 0.024628 | 0.665527 ± 0.021160 | |
| gat_selfies | 1.081340 [1.036938, 1.128630] | 0.881104 [0.840970, 0.924473] | 1.037287 ± 0.052443 | 0.832566 ± 0.043560 | |
| gat_smiles | 1.068747 [1.017778, 1.118856] | 0.860112 [0.816209, 0.905022] | 1.030685 ± 0.043815 | 0.824656 ± 0.034261 | |
| gcn_ecfp | 0.837618 [0.787549, 0.887376] | 0.637590 [0.600752, 0.673294] | 0.865728 ± 0.024324 | 0.662833 ± 0.021128 | |
| gcn_selfies | 1.105532 [1.057341, 1.149453] | 0.905712 [0.863079, 0.946613] | 1.069965 ± 0.041310 | 0.862737 ± 0.032622 | |
| gcn_smiles | 1.109580 [1.062683, 1.157009] | 0.905936 [0.859846, 0.949710] | 1.075038 ± 0.045100 | 0.868886 ± 0.032822 | |
| gin_ecfp | 0.807951 [0.759879, 0.859746] | 0.604900 [0.570841, 0.642128] | 0.829080 ± 0.035731 | 0.620488 ± 0.035590 | |
| gin_selfies | 1.084986 [1.032412, 1.137770] | 0.871410 [0.826601, 0.913421] | 1.061878 ± 0.065333 | 0.847859 ± 0.054295 | |
| gin_smiles | 1.073379 [1.026774, 1.125871] | 0.865299 [0.825895, 0.908155] | 1.071704 ± 0.043282 | 0.862245 ± 0.036236 | |
| polyatomic_polyatomic | 0.750166 [0.701453, 0.801550] | 0.546201 [0.511713, 0.579163] | 0.716816 ± 0.027181 | 0.531184 ± 0.022649 | |
| sage_ecfp | 0.850434 [0.802967, 0.899354] | 0.651153 [0.616387, 0.688607] | 0.864885 ± 0.021444 | 0.663023 ± 0.021885 | |
| sage_selfies | 1.030099 [0.972416, 1.095108] | 0.811732 [0.766428, 0.853343] | 0.946567 ± 0.038476 | 0.749871 ± 0.026962 | |
| sage_smiles | 1.016465 [0.953699, 1.080275] | 0.797396 [0.755563, 0.842923] | 0.955182 ± 0.040513 | 0.762820 ± 0.035193 | |
| --- NB-corrected t (outer folds) per competitor --- | |
| comparison mean_diff_RMSE(comp-ctrl) t_NB_RMSE p_one_sided_RMSE mean_diff_MAE(comp-ctrl) t_NB_MAE p_one_sided_MAE NB_CI_RMSE_low NB_CI_RMSE_high NB_CI_MAE_low NB_CI_MAE_high | |
| polyatomic_polyatomic vs gat_ecfp 0.157998 8.365009 0.000558 0.134343 9.321019 0.000369 0.105556 0.210439 0.094327 0.174360 | |
| polyatomic_polyatomic vs gat_selfies 0.320471 11.120423 0.000186 0.301382 14.562756 0.000065 0.240459 0.400483 0.243923 0.358842 | |
| polyatomic_polyatomic vs gat_smiles 0.313869 8.565269 0.000510 0.293472 11.414344 0.000168 0.212128 0.415611 0.222087 0.364857 | |
| polyatomic_polyatomic vs gcn_ecfp 0.148912 8.516503 0.000521 0.131650 10.908886 0.000200 0.100366 0.197459 0.098143 0.165156 | |
| polyatomic_polyatomic vs gcn_selfies 0.353149 20.048041 0.000018 0.331553 35.042785 0.000002 0.304242 0.402057 0.305284 0.357823 | |
| polyatomic_polyatomic vs gcn_smiles 0.358223 17.664564 0.000030 0.337702 32.600741 0.000003 0.301919 0.414527 0.308942 0.366463 | |
| polyatomic_polyatomic vs gin_ecfp 0.112264 4.076504 0.007571 0.089304 3.639682 0.010985 0.035803 0.188725 0.021181 0.157428 | |
| polyatomic_polyatomic vs gin_selfies 0.345063 6.854546 0.001186 0.316676 7.517883 0.000838 0.205295 0.484831 0.199724 0.433628 | |
| polyatomic_polyatomic vs gin_smiles 0.354888 13.627886 0.000084 0.331062 15.061764 0.000057 0.282586 0.427191 0.270035 0.392089 | |
| polyatomic_polyatomic vs sage_ecfp 0.148070 9.090749 0.000406 0.131840 10.860730 0.000204 0.102847 0.193293 0.098136 0.165543 | |
| polyatomic_polyatomic vs sage_selfies 0.229752 9.643055 0.000323 0.218688 15.687052 0.000048 0.163601 0.295902 0.179982 0.257393 | |
| polyatomic_polyatomic vs sage_smiles 0.238367 9.619994 0.000326 0.231637 13.137888 0.000097 0.169571 0.307162 0.182685 0.280589 | |
| --- Holm-adjusted p-values (RMSE family) --- | |
| comparison p_raw p_holm Significant | |
| polyatomic_polyatomic vs gcn_selfies 0.000018 0.000219 True | |
| polyatomic_polyatomic vs gcn_smiles 0.000030 0.000332 True | |
| polyatomic_polyatomic vs gin_smiles 0.000084 0.000839 True | |
| polyatomic_polyatomic vs gat_selfies 0.000186 0.001674 True | |
| polyatomic_polyatomic vs sage_selfies 0.000323 0.002587 True | |
| polyatomic_polyatomic vs sage_smiles 0.000326 0.002587 True | |
| polyatomic_polyatomic vs sage_ecfp 0.000406 0.002587 True | |
| polyatomic_polyatomic vs gat_smiles 0.000510 0.002587 True | |
| polyatomic_polyatomic vs gcn_ecfp 0.000521 0.002587 True | |
| polyatomic_polyatomic vs gat_ecfp 0.000558 0.002587 True | |
| polyatomic_polyatomic vs gin_selfies 0.001186 0.002587 True | |
| polyatomic_polyatomic vs gin_ecfp 0.007571 0.007571 True | |
| --- Holm-adjusted p-values (MAE family) --- | |
| comparison p_raw p_holm Significant | |
| polyatomic_polyatomic vs gcn_selfies 0.000002 0.000024 True | |
| polyatomic_polyatomic vs gcn_smiles 0.000003 0.000029 True | |
| polyatomic_polyatomic vs sage_selfies 0.000048 0.000482 True | |
| polyatomic_polyatomic vs gin_smiles 0.000057 0.000510 True | |
| polyatomic_polyatomic vs gat_selfies 0.000065 0.000517 True | |
| polyatomic_polyatomic vs sage_smiles 0.000097 0.000678 True | |
| polyatomic_polyatomic vs gat_smiles 0.000168 0.001008 True | |
| polyatomic_polyatomic vs gcn_ecfp 0.000200 0.001008 True | |
| polyatomic_polyatomic vs sage_ecfp 0.000204 0.001008 True | |
| polyatomic_polyatomic vs gat_ecfp 0.000369 0.001106 True | |
| polyatomic_polyatomic vs gin_selfies 0.000838 0.001676 True | |
| polyatomic_polyatomic vs gin_ecfp 0.010985 0.010985 True | |
| ============================================================================================================== | |
| Notes: | |
| • Tests are within-dataset, one-sided for control superiority, on outer-fold differences with Nadeau–Bengio SE correction (df = k-1). | |
| • Holm controls family-wise error across competitors per metric family. | |
| • Held-out Test metrics above are for context only; no fold-based omnibus tests are used. | |