model stringclasses 13
values | model_display stringclasses 13
values | tier stringclasses 6
values | K float64 0.5 6.5 | rho float64 0.05 0.5 | N int64 8 32 | epsilon float64 0.03 3.25 | test_mse_mean float64 0.13 1.02 | test_mse_std float64 0 0.26 | test_mse_count int64 3 3 | test_mae_mean float64 0.17 0.87 | test_mae_std float64 0 0.2 | test_mae_count int64 3 3 | ar_vpt_mean float64 0.48 31.1 | ar_vpt_std float64 0 5.94 | ar_vpt_count int64 3 3 | ar_vpt_std_mean float64 0.37 35.1 | ar_vpt_std_std float64 0 11 | ar_vpt_std_count int64 3 3 | best_val_mse_mean float64 0.13 1.02 | best_val_mse_std float64 0 0.26 | best_val_mse_count int64 3 3 | train_time_s_mean float64 107 22.1k | train_time_s_std float64 0.01 9.56k | train_time_s_count int64 3 3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
agcrn | AGCRN | 5-LearnedDiff | 0.5 | 0.05 | 8 | 0.025 | 0.329218 | 0.006151 | 3 | 0.330237 | 0.005157 | 3 | 12.866667 | 0.557524 | 3 | 2.110456 | 1.109712 | 3 | 0.337053 | 0.004076 | 3 | 22,078.117466 | 11.046909 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.5 | 0.05 | 16 | 0.025 | 0.382442 | 0.00083 | 3 | 0.37519 | 0.00107 | 3 | 12.65 | 0.4 | 3 | 1.021231 | 0.258615 | 3 | 0.39744 | 0.000269 | 3 | 20,415.196945 | 7.605831 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.5 | 0.05 | 32 | 0.025 | 0.456103 | 0.006368 | 3 | 0.43224 | 0.00512 | 3 | 11.983333 | 0.028868 | 3 | 1.210009 | 0.166037 | 3 | 0.458801 | 0.005927 | 3 | 19,572.058915 | 4,576.755971 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.5 | 0.075 | 8 | 0.0375 | 0.40633 | 0.011014 | 3 | 0.382626 | 0.009325 | 3 | 11.983333 | 0.202073 | 3 | 2.924183 | 0.712379 | 3 | 0.370518 | 0.013162 | 3 | 20,453.964573 | 13.726535 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.5 | 0.075 | 16 | 0.0375 | 0.43164 | 0.005399 | 3 | 0.4087 | 0.003753 | 3 | 11.516667 | 0.388373 | 3 | 1.484284 | 0.13821 | 3 | 0.447414 | 0.003571 | 3 | 18,927.138412 | 12.062938 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.5 | 0.075 | 32 | 0.0375 | 0.486808 | 0.005474 | 3 | 0.451866 | 0.004236 | 3 | 12.3 | 0.217945 | 3 | 0.577185 | 0.260359 | 3 | 0.481524 | 0.005051 | 3 | 14,279.803997 | 13.031615 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.5 | 0.1 | 8 | 0.05 | 0.433853 | 0.005346 | 3 | 0.406144 | 0.003931 | 3 | 11.9 | 0.35 | 3 | 2.071395 | 0.475903 | 3 | 0.459604 | 0.004895 | 3 | 20,449.589096 | 263.721766 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.5 | 0.1 | 16 | 0.05 | 0.469621 | 0.000861 | 3 | 0.436556 | 0.001391 | 3 | 11.7 | 0.3 | 3 | 1.865053 | 0.455375 | 3 | 0.471448 | 0.000867 | 3 | 19,088.280161 | 5.656043 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.5 | 0.1 | 32 | 0.05 | 0.52992 | 0.002048 | 3 | 0.482013 | 0.001269 | 3 | 12.2 | 0.132288 | 3 | 0.971635 | 0.079917 | 3 | 0.520208 | 0.002372 | 3 | 14,276.973048 | 11.534537 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.5 | 0.15 | 8 | 0.075 | 0.490648 | 0.003664 | 3 | 0.452272 | 0.002765 | 3 | 8.85 | 0.35 | 3 | 3.250737 | 0.343237 | 3 | 0.488125 | 0.003754 | 3 | 20,864.287707 | 19.825978 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.5 | 0.15 | 16 | 0.075 | 0.544302 | 0.004244 | 3 | 0.487336 | 0.003312 | 3 | 11 | 0.132288 | 3 | 2.021802 | 0.031239 | 3 | 0.537215 | 0.004407 | 3 | 19,178.544936 | 91.340643 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.5 | 0.15 | 32 | 0.075 | 0.574891 | 0.0018 | 3 | 0.513185 | 0.001064 | 3 | 12 | 0.229129 | 3 | 1.462234 | 0.663557 | 3 | 0.571229 | 0.002105 | 3 | 13,745.987327 | 472.837216 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.5 | 0.2 | 8 | 0.1 | 0.563543 | 0.006802 | 3 | 0.501731 | 0.004917 | 3 | 8.733333 | 0.557524 | 3 | 3.498165 | 0.476199 | 3 | 0.565044 | 0.006458 | 3 | 21,205.039349 | 11.96156 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.5 | 0.2 | 16 | 0.1 | 0.581475 | 0.002754 | 3 | 0.518759 | 0.001957 | 3 | 9.483333 | 0.292973 | 3 | 3.692429 | 0.194169 | 3 | 0.589025 | 0.003057 | 3 | 19,349.507047 | 41.310224 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.5 | 0.2 | 32 | 0.1 | 0.608993 | 0.002682 | 3 | 0.541076 | 0.002144 | 3 | 11.5 | 0.15 | 3 | 1.816295 | 0.39257 | 3 | 0.60043 | 0.002893 | 3 | 13,513.086451 | 74.20157 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.5 | 0.3 | 8 | 0.15 | 0.657375 | 0.005688 | 3 | 0.570178 | 0.004302 | 3 | 9.033333 | 0.104083 | 3 | 3.520003 | 0.389698 | 3 | 0.618285 | 0.004654 | 3 | 20,526.903402 | 62.475162 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.5 | 0.3 | 16 | 0.15 | 0.666487 | 0.001073 | 3 | 0.580842 | 0.000708 | 3 | 10.883333 | 0.650641 | 3 | 3.27757 | 0.876098 | 3 | 0.638786 | 0.000941 | 3 | 18,727.591612 | 36.101793 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.5 | 0.3 | 32 | 0.15 | 0.672999 | 0.000351 | 3 | 0.590548 | 0.000408 | 3 | 9.766667 | 0.11547 | 3 | 3.735295 | 0.276333 | 3 | 0.690301 | 0.000279 | 3 | 13,556.332013 | 1.450577 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.5 | 0.4 | 8 | 0.2 | 0.687691 | 0.003394 | 3 | 0.603492 | 0.002415 | 3 | 7.083333 | 0.778353 | 3 | 5.027998 | 1.72847 | 3 | 0.710555 | 0.003563 | 3 | 20,646.799221 | 131.276925 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.5 | 0.4 | 16 | 0.2 | 0.722519 | 0.001517 | 3 | 0.627123 | 0.001318 | 3 | 10.116667 | 0.225462 | 3 | 7.065863 | 0.981892 | 3 | 0.712431 | 0.001556 | 3 | 18,977.607912 | 6.659223 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.5 | 0.4 | 32 | 0.2 | 0.736244 | 0.00297 | 3 | 0.638724 | 0.002415 | 3 | 10.616667 | 0.381881 | 3 | 5.559246 | 0.448249 | 3 | 0.739795 | 0.00299 | 3 | 13,354.223662 | 6.061313 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.5 | 0.5 | 8 | 0.25 | 0.747881 | 0.003427 | 3 | 0.650131 | 0.002974 | 3 | 7.166667 | 0.503322 | 3 | 3.821341 | 0.501027 | 3 | 0.746973 | 0.003364 | 3 | 20,890.444944 | 46.797277 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.5 | 0.5 | 16 | 0.25 | 0.749957 | 0.000369 | 3 | 0.654678 | 0.000253 | 3 | 6.916667 | 1.428577 | 3 | 4.612913 | 2.419773 | 3 | 0.765405 | 0.00033 | 3 | 19,105.089923 | 96.573846 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.5 | 0.5 | 32 | 0.25 | 0.775226 | 0.001721 | 3 | 0.672895 | 0.001596 | 3 | 8.666667 | 0.028868 | 3 | 3.267436 | 0.26132 | 3 | 0.7723 | 0.00167 | 3 | 13,466.901929 | 61.337285 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.97 | 0.05 | 8 | 0.0485 | 0.457533 | 0.004732 | 3 | 0.431589 | 0.003956 | 3 | 10.383333 | 0.500833 | 3 | 3.553019 | 0.260442 | 3 | 0.452206 | 0.004562 | 3 | 21,127.50964 | 42.90055 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.97 | 0.05 | 16 | 0.0485 | 0.483034 | 0.001041 | 3 | 0.455949 | 0.00118 | 3 | 10.883333 | 0.431084 | 3 | 2.169984 | 0.710988 | 3 | 0.480764 | 0.001146 | 3 | 19,246.707762 | 105.011002 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.97 | 0.05 | 32 | 0.0485 | 0.528821 | 0.002708 | 3 | 0.49498 | 0.00193 | 3 | 12.166667 | 0.028868 | 3 | 0.371381 | 0.024785 | 3 | 0.525716 | 0.002691 | 3 | 13,139.392782 | 642.51794 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.97 | 0.075 | 8 | 0.07275 | 0.519845 | 0.003192 | 3 | 0.480803 | 0.002443 | 3 | 9.483333 | 0.25658 | 3 | 3.513687 | 0.299595 | 3 | 0.518613 | 0.003534 | 3 | 20,588.019801 | 34.31207 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.97 | 0.075 | 16 | 0.07275 | 0.54464 | 0.001179 | 3 | 0.500732 | 0.000646 | 3 | 10.95 | 0.1 | 3 | 2.959529 | 0.270241 | 3 | 0.560129 | 0.001414 | 3 | 18,739.943016 | 5.164384 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.97 | 0.075 | 32 | 0.07275 | 0.585459 | 0.003741 | 3 | 0.535663 | 0.002566 | 3 | 11.366667 | 0.104083 | 3 | 1.361011 | 0.094721 | 3 | 0.583745 | 0.003686 | 3 | 12,437.251069 | 16.07705 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.97 | 0.1 | 8 | 0.097 | 0.575256 | 0.005102 | 3 | 0.521656 | 0.004424 | 3 | 8.966667 | 0.378594 | 3 | 3.23945 | 0.118102 | 3 | 0.566972 | 0.00498 | 3 | 14,614.149984 | 14.603893 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.97 | 0.1 | 16 | 0.097 | 0.597517 | 0.002894 | 3 | 0.540949 | 0.002737 | 3 | 10.183333 | 0.23094 | 3 | 2.82795 | 0.159062 | 3 | 0.592869 | 0.00297 | 3 | 11,597.230019 | 477.03873 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.97 | 0.1 | 32 | 0.097 | 0.626304 | 0.003066 | 3 | 0.564724 | 0.00256 | 3 | 10.633333 | 0.275379 | 3 | 2.132826 | 0.314771 | 3 | 0.62815 | 0.002978 | 3 | 12,264.807806 | 13.648757 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.97 | 0.15 | 8 | 0.1455 | 0.665637 | 0.004398 | 3 | 0.590068 | 0.003591 | 3 | 7.5 | 0.409268 | 3 | 3.432387 | 0.368215 | 3 | 0.662869 | 0.004425 | 3 | 14,008.396677 | 1.774338 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.97 | 0.15 | 16 | 0.1455 | 0.673465 | 0.001381 | 3 | 0.5994 | 0.001065 | 3 | 8.466667 | 0.144338 | 3 | 3.931768 | 0.253571 | 3 | 0.678382 | 0.001467 | 3 | 11,374.867055 | 37.964538 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.97 | 0.15 | 32 | 0.1455 | 0.699626 | 0.00082 | 3 | 0.620789 | 0.000715 | 3 | 10.25 | 0.687386 | 3 | 2.813288 | 0.621985 | 3 | 0.698094 | 0.000844 | 3 | 12,416.525242 | 3.01325 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.97 | 0.2 | 8 | 0.194 | 0.726391 | 0.003782 | 3 | 0.638007 | 0.003322 | 3 | 7.066667 | 0.361709 | 3 | 3.626675 | 0.428181 | 3 | 0.725966 | 0.003692 | 3 | 14,061.175615 | 91.254809 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.97 | 0.2 | 16 | 0.194 | 0.737588 | 0.000532 | 3 | 0.649217 | 0.000516 | 3 | 8.283333 | 0.251661 | 3 | 3.472486 | 0.063303 | 3 | 0.74065 | 0.000666 | 3 | 11,331.599756 | 32.210087 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.97 | 0.2 | 32 | 0.194 | 0.750346 | 0.0009 | 3 | 0.660978 | 0.000771 | 3 | 8.8 | 0.526783 | 3 | 3.62133 | 0.43756 | 3 | 0.754648 | 0.000883 | 3 | 12,295.7971 | 16.383559 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.97 | 0.3 | 8 | 0.291 | 0.812067 | 0.001999 | 3 | 0.709034 | 0.001634 | 3 | 3.916667 | 0.25658 | 3 | 2.339689 | 0.370852 | 3 | 0.818863 | 0.001989 | 3 | 13,958.809072 | 37.699078 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.97 | 0.3 | 16 | 0.291 | 0.819465 | 0.000598 | 3 | 0.715333 | 0.000482 | 3 | 5.283333 | 0.407226 | 3 | 2.125946 | 0.096337 | 3 | 0.818072 | 0.000678 | 3 | 11,363.752702 | 23.693493 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.97 | 0.3 | 32 | 0.291 | 0.832046 | 0.000582 | 3 | 0.726886 | 0.000423 | 3 | 7.233333 | 0.028868 | 3 | 2.701454 | 0.347446 | 3 | 0.832267 | 0.000626 | 3 | 12,283.979735 | 14.049802 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.97 | 0.4 | 8 | 0.388 | 0.866272 | 0.001853 | 3 | 0.754967 | 0.001659 | 3 | 3.866667 | 0.728583 | 3 | 2.895255 | 0.467701 | 3 | 0.863743 | 0.00189 | 3 | 13,883.709926 | 27.207642 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.97 | 0.4 | 16 | 0.388 | 0.874556 | 0.000338 | 3 | 0.761493 | 0.000326 | 3 | 6.016667 | 0.633114 | 3 | 3.968067 | 1.05139 | 3 | 0.874638 | 0.000412 | 3 | 11,274.074825 | 88.18725 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.97 | 0.4 | 32 | 0.388 | 0.879919 | 0.000103 | 3 | 0.766404 | 0.00005 | 3 | 5.733333 | 0.284312 | 3 | 4.219227 | 0.098437 | 3 | 0.880604 | 0.000095 | 3 | 12,207.669813 | 10.877281 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.97 | 0.5 | 8 | 0.485 | 0.907093 | 0.001724 | 3 | 0.787811 | 0.001361 | 3 | 3.616667 | 0.305505 | 3 | 2.247045 | 0.193478 | 3 | 0.902213 | 0.001775 | 3 | 13,951.865064 | 39.856389 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.97 | 0.5 | 16 | 0.485 | 0.911575 | 0.000756 | 3 | 0.791908 | 0.000591 | 3 | 4.316667 | 0.431084 | 3 | 2.801748 | 0.560415 | 3 | 0.913223 | 0.000809 | 3 | 11,266.646211 | 39.211196 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 0.97 | 0.5 | 32 | 0.485 | 0.913444 | 0.001518 | 3 | 0.794813 | 0.001515 | 3 | 5.233333 | 0.292973 | 3 | 2.216678 | 0.109574 | 3 | 0.914751 | 0.001512 | 3 | 12,255.349962 | 2.259093 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 2 | 0.05 | 8 | 0.1 | 0.706246 | 0.007598 | 3 | 0.634366 | 0.005947 | 3 | 7.5 | 0.390512 | 3 | 3.051329 | 0.081177 | 3 | 0.710854 | 0.007911 | 3 | 12,936.115687 | 1,731.048213 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 2 | 0.05 | 16 | 0.1 | 0.721156 | 0.000948 | 3 | 0.647317 | 0.000704 | 3 | 6.916667 | 0.104083 | 3 | 2.323093 | 0.242088 | 3 | 0.723153 | 0.000897 | 3 | 11,261.062504 | 28.007474 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 2 | 0.05 | 32 | 0.1 | 0.742965 | 0.001332 | 3 | 0.665206 | 0.001115 | 3 | 8.1 | 0.8 | 3 | 2.743414 | 0.074282 | 3 | 0.739173 | 0.001413 | 3 | 12,258.469398 | 10.200414 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 2 | 0.075 | 8 | 0.15 | 0.751832 | 0.004628 | 3 | 0.667055 | 0.004038 | 3 | 5.366667 | 0.305505 | 3 | 2.300054 | 0.140101 | 3 | 0.74951 | 0.004862 | 3 | 13,953.724782 | 29.669479 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 2 | 0.075 | 16 | 0.15 | 0.765247 | 0.001774 | 3 | 0.679015 | 0.001247 | 3 | 6.533333 | 0.321455 | 3 | 3.128361 | 0.200084 | 3 | 0.766645 | 0.001768 | 3 | 9,631.007808 | 2,829.173259 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 2 | 0.075 | 32 | 0.15 | 0.784401 | 0.00159 | 3 | 0.695019 | 0.001303 | 3 | 8.266667 | 0.104083 | 3 | 2.932628 | 0.178996 | 3 | 0.785722 | 0.001555 | 3 | 7,140.338373 | 0.170566 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 2 | 0.1 | 8 | 0.2 | 0.7928 | 0.002381 | 3 | 0.697401 | 0.00198 | 3 | 4.65 | 0.132288 | 3 | 2.246208 | 0.074641 | 3 | 0.793695 | 0.002306 | 3 | 6,473.834663 | 34.524727 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 2 | 0.1 | 16 | 0.2 | 0.805564 | 0.001151 | 3 | 0.709393 | 0.00102 | 3 | 5.55 | 0.2 | 3 | 2.843541 | 0.229483 | 3 | 0.808049 | 0.001145 | 3 | 5,737.591583 | 293.626352 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 2 | 0.1 | 32 | 0.2 | 0.821493 | 0.001268 | 3 | 0.723225 | 0.001077 | 3 | 6.1 | 0.132288 | 3 | 2.577689 | 0.027891 | 3 | 0.821322 | 0.001263 | 3 | 6,370.788059 | 444.687066 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 2 | 0.15 | 8 | 0.3 | 0.855434 | 0.003747 | 3 | 0.746513 | 0.00328 | 3 | 3.866667 | 0.104083 | 3 | 2.408272 | 0.113307 | 3 | 0.856456 | 0.003748 | 3 | 6,565.147902 | 18.710489 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 2 | 0.15 | 16 | 0.3 | 0.861368 | 0.000802 | 3 | 0.752887 | 0.000674 | 3 | 4.333333 | 0.493288 | 3 | 2.285335 | 0.637075 | 3 | 0.863742 | 0.000822 | 3 | 5,854.558244 | 193.675417 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 2 | 0.15 | 32 | 0.3 | 0.869917 | 0.000475 | 3 | 0.760606 | 0.00043 | 3 | 4.95 | 0.173205 | 3 | 1.911403 | 0.105161 | 3 | 0.870067 | 0.000446 | 3 | 6,343.193602 | 202.420972 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 2 | 0.2 | 8 | 0.4 | 0.891444 | 0.003067 | 3 | 0.77585 | 0.002588 | 3 | 3.233333 | 0.189297 | 3 | 1.612521 | 0.286643 | 3 | 0.89099 | 0.003072 | 3 | 6,680.131113 | 43.590761 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 2 | 0.2 | 16 | 0.4 | 0.896684 | 0.000072 | 3 | 0.7806 | 0.000069 | 3 | 4.166667 | 0.453689 | 3 | 1.652872 | 0.233497 | 3 | 0.896209 | 0.000086 | 3 | 5,732.648059 | 174.066855 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 2 | 0.2 | 32 | 0.4 | 0.900846 | 0.000284 | 3 | 0.784715 | 0.000264 | 3 | 4.833333 | 0.25658 | 3 | 2.370782 | 0.107651 | 3 | 0.900715 | 0.000277 | 3 | 6,385.71935 | 174.337248 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 2 | 0.3 | 8 | 0.6 | 0.938085 | 0.002583 | 3 | 0.81395 | 0.002552 | 3 | 2.366667 | 0.292973 | 3 | 1.704755 | 0.05669 | 3 | 0.938431 | 0.002558 | 3 | 5,949.290068 | 1,410.433853 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 2 | 0.3 | 16 | 0.6 | 0.939086 | 0.00053 | 3 | 0.815402 | 0.000495 | 3 | 2.683333 | 0.202073 | 3 | 1.726968 | 0.100609 | 3 | 0.938987 | 0.000507 | 3 | 5,743.136837 | 156.826474 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 2 | 0.3 | 32 | 0.6 | 0.941756 | 0.001059 | 3 | 0.818138 | 0.001013 | 3 | 4.083333 | 0.25658 | 3 | 2.250949 | 0.220438 | 3 | 0.941305 | 0.00107 | 3 | 6,396.237169 | 114.213962 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 2 | 0.4 | 8 | 0.8 | 0.963431 | 0.001879 | 3 | 0.835009 | 0.001519 | 3 | 1.483333 | 0.125831 | 3 | 1.315314 | 0.116936 | 3 | 0.962999 | 0.001892 | 3 | 6,317.894126 | 231.222393 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 2 | 0.4 | 16 | 0.8 | 0.964125 | 0.0001 | 3 | 0.835887 | 0.000085 | 3 | 2.65 | 0.2 | 3 | 2.113204 | 0.052949 | 3 | 0.963602 | 0.000087 | 3 | 5,712.496219 | 228.668434 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 2 | 0.4 | 32 | 0.8 | 0.965103 | 0.000224 | 3 | 0.837326 | 0.000277 | 3 | 2.05 | 0.086603 | 3 | 1.509846 | 0.379866 | 3 | 0.965802 | 0.000204 | 3 | 6,504.612374 | 136.654706 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 2 | 0.5 | 8 | 1 | 0.980367 | 0.001919 | 3 | 0.849042 | 0.001602 | 3 | 0.816667 | 0.028868 | 3 | 0.762937 | 0.025298 | 3 | 0.980428 | 0.001905 | 3 | 5,486.433456 | 1,006.93123 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 2 | 0.5 | 16 | 1 | 0.981445 | 0.000229 | 3 | 0.84978 | 0.000238 | 3 | 1.616667 | 0.189297 | 3 | 1.945466 | 0.203691 | 3 | 0.9815 | 0.00021 | 3 | 5,473.017517 | 24.083904 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 2 | 0.5 | 32 | 1 | 0.981582 | 0.000923 | 3 | 0.850323 | 0.000704 | 3 | 2.466667 | 0.160728 | 3 | 1.841643 | 0.100136 | 3 | 0.981972 | 0.000904 | 3 | 6,331.763935 | 219.181551 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 6.5 | 0.05 | 8 | 0.325 | 0.959429 | 0.006477 | 3 | 0.832813 | 0.00509 | 3 | 1.833333 | 0.246644 | 3 | 1.523857 | 0.253556 | 3 | 0.957329 | 0.006368 | 3 | 6,677.368306 | 99.893149 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 6.5 | 0.05 | 16 | 0.325 | 0.959012 | 0.002095 | 3 | 0.833276 | 0.001494 | 3 | 2.6 | 0.180278 | 3 | 2.360347 | 0.347334 | 3 | 0.95899 | 0.002125 | 3 | 5,764.895696 | 207.591432 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 6.5 | 0.05 | 32 | 0.325 | 0.96202 | 0.001785 | 3 | 0.835756 | 0.001275 | 3 | 1.816667 | 0.076376 | 3 | 1.116001 | 0.023706 | 3 | 0.96252 | 0.001782 | 3 | 6,448.006882 | 111.286839 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 6.5 | 0.075 | 8 | 0.4875 | 0.97035 | 0.003949 | 3 | 0.841406 | 0.003191 | 3 | 1.633333 | 0.317543 | 3 | 1.403488 | 0.702019 | 3 | 0.970958 | 0.003941 | 3 | 6,613.026823 | 63.147584 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 6.5 | 0.075 | 16 | 0.4875 | 0.968536 | 0.002171 | 3 | 0.840338 | 0.001623 | 3 | 1.6 | 0.173205 | 3 | 1.12958 | 0.407522 | 3 | 0.968372 | 0.00213 | 3 | 5,725.211073 | 270.360216 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 6.5 | 0.075 | 32 | 0.4875 | 0.972642 | 0.001416 | 3 | 0.843724 | 0.001075 | 3 | 2.416667 | 0.057735 | 3 | 1.529788 | 0.02951 | 3 | 0.971128 | 0.001391 | 3 | 6,437.676079 | 272.319584 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 6.5 | 0.1 | 8 | 0.65 | 0.981275 | 0.003671 | 3 | 0.849567 | 0.002971 | 3 | 1.966667 | 0.152753 | 3 | 2.254578 | 0.017797 | 3 | 0.98093 | 0.003689 | 3 | 6,282.766102 | 332.443253 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 6.5 | 0.1 | 16 | 0.65 | 0.978324 | 0.001811 | 3 | 0.848221 | 0.001377 | 3 | 1.583333 | 0.076376 | 3 | 1.15572 | 0.072222 | 3 | 0.979502 | 0.001854 | 3 | 5,817.305834 | 240.281 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 6.5 | 0.1 | 32 | 0.65 | 0.980597 | 0.000763 | 3 | 0.85029 | 0.000668 | 3 | 1.733333 | 0.11547 | 3 | 1.476308 | 0.103786 | 3 | 0.981183 | 0.000774 | 3 | 6,357.416534 | 247.70793 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 6.5 | 0.15 | 8 | 0.975 | 0.992929 | 0.001332 | 3 | 0.859948 | 0.001023 | 3 | 1.783333 | 0.152753 | 3 | 2.634362 | 0.521011 | 3 | 0.992464 | 0.001344 | 3 | 4,316.346696 | 68.688697 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 6.5 | 0.15 | 16 | 0.975 | 0.991783 | 0.000427 | 3 | 0.858787 | 0.000366 | 3 | 1.483333 | 0.189297 | 3 | 1.008045 | 0.120488 | 3 | 0.992551 | 0.000453 | 3 | 5,459.592572 | 140.669658 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 6.5 | 0.15 | 32 | 0.975 | 0.991106 | 0.000284 | 3 | 0.858627 | 0.000262 | 3 | 1.933333 | 0.104083 | 3 | 1.56623 | 0.053699 | 3 | 0.992278 | 0.000274 | 3 | 6,106.541248 | 365.02122 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 6.5 | 0.2 | 8 | 1.3 | 0.998934 | 0.000511 | 3 | 0.865028 | 0.000473 | 3 | 1.25 | 0.1 | 3 | 1.243762 | 0.028862 | 3 | 0.997764 | 0.000499 | 3 | 3,511.573755 | 662.459776 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 6.5 | 0.2 | 16 | 1.3 | 0.998763 | 0.000278 | 3 | 0.864729 | 0.000309 | 3 | 0.95 | 0.086603 | 3 | 1.357115 | 0.033267 | 3 | 0.998774 | 0.000276 | 3 | 3,428.294261 | 223.997542 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 6.5 | 0.2 | 32 | 1.3 | 0.998176 | 0.000284 | 3 | 0.864324 | 0.000249 | 3 | 1.516667 | 0.104083 | 3 | 1.306429 | 0.060138 | 3 | 0.9986 | 0.000275 | 3 | 4,671.179706 | 532.729381 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 6.5 | 0.3 | 8 | 1.95 | 0.999264 | 0.000028 | 3 | 0.865462 | 0.000009 | 3 | 1.083333 | 0.028868 | 3 | 1.676037 | 0.009887 | 3 | 1.001019 | 0.000034 | 3 | 3,122.823182 | 1,013.780472 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 6.5 | 0.3 | 16 | 1.95 | 1.000872 | 0.000012 | 3 | 0.866465 | 0.000006 | 3 | 0.8 | 0 | 3 | 1.122497 | 0 | 3 | 1.000363 | 0.000011 | 3 | 2,142.293084 | 330.370985 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 6.5 | 0.3 | 32 | 1.95 | 0.999948 | 0.000042 | 3 | 0.865985 | 0.000011 | 3 | 0.9 | 0 | 3 | 1.545962 | 0 | 3 | 0.999971 | 0.000042 | 3 | 6,861.926924 | 1,164.530105 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 6.5 | 0.4 | 8 | 2.6 | 1.00066 | 0.000022 | 3 | 0.866488 | 0.000006 | 3 | 1.283333 | 0.028868 | 3 | 1.60276 | 0.022152 | 3 | 0.999066 | 0.000027 | 3 | 5,420.929521 | 398.624136 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 6.5 | 0.4 | 16 | 2.6 | 1.001188 | 0.000013 | 3 | 0.866529 | 0.000003 | 3 | 0.866667 | 0.028868 | 3 | 1.309563 | 0.008281 | 3 | 1.000489 | 0.000018 | 3 | 5,090.991683 | 795.904663 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 6.5 | 0.4 | 32 | 2.6 | 1.000799 | 0.000019 | 3 | 0.866397 | 0.000007 | 3 | 1.65 | 0 | 3 | 1.796524 | 0 | 3 | 1.000437 | 0.000018 | 3 | 6,091.060543 | 1,076.07353 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 6.5 | 0.5 | 8 | 3.25 | 1.000943 | 0.000041 | 3 | 0.866423 | 0.000011 | 3 | 0.766667 | 0.028868 | 3 | 1.115213 | 0.044147 | 3 | 1.000204 | 0.000039 | 3 | 5,259.939956 | 1,094.487808 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 6.5 | 0.5 | 16 | 3.25 | 0.999953 | 0.000006 | 3 | 0.86592 | 0.000001 | 3 | 1.35 | 0.086603 | 3 | 1.737863 | 0.059134 | 3 | 1.000285 | 0.00001 | 3 | 3,988.596215 | 142.264576 | 3 |
agcrn | AGCRN | 5-LearnedDiff | 6.5 | 0.5 | 32 | 3.25 | 1.000078 | 0.000024 | 3 | 0.866071 | 0.000012 | 3 | 1.25 | 0 | 3 | 1.219631 | 0 | 3 | 0.99979 | 0.000024 | 3 | 3,579.838894 | 127.550087 | 3 |
d2stgnn | D2STGNN | 5-LearnedDiff | 0.5 | 0.05 | 8 | 0.025 | 0.162431 | 0.00974 | 3 | 0.207372 | 0.011728 | 3 | 14.033333 | 0.472582 | 3 | 4.714757 | 1.175417 | 3 | 0.166023 | 0.009476 | 3 | 16,355.547321 | 0.105442 | 3 |
d2stgnn | D2STGNN | 5-LearnedDiff | 0.5 | 0.05 | 16 | 0.025 | 0.147758 | 0.005521 | 3 | 0.195636 | 0.008915 | 3 | 17.05 | 0.87892 | 3 | 4.037059 | 0.227996 | 3 | 0.155439 | 0.007707 | 3 | 19,978.752243 | 0.196518 | 3 |
d2stgnn | D2STGNN | 5-LearnedDiff | 0.5 | 0.05 | 32 | 0.025 | 0.129677 | 0.000604 | 3 | 0.173697 | 0.001002 | 3 | 17.166667 | 1.172959 | 3 | 5.028266 | 1.2678 | 3 | 0.134052 | 0.000128 | 3 | 11,842.242962 | 0.078513 | 3 |
d2stgnn | D2STGNN | 5-LearnedDiff | 0.5 | 0.075 | 8 | 0.0375 | 0.192895 | 0.005605 | 3 | 0.230264 | 0.009113 | 3 | 15.683333 | 0.982768 | 3 | 4.153562 | 0.72845 | 3 | 0.171763 | 0.005605 | 3 | 8,358.782953 | 3,856.997976 | 3 |
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