sensor_id4_AccX float64 0 1 ⌀ | sensor_id4_AccY float64 0 1 ⌀ | sensor_id4_AccZ float64 0 1 ⌀ | sensor_id4_GyroX float64 0 1 ⌀ | sensor_id4_GyroY float64 0 1 ⌀ | sensor_id4_GyroZ float64 0 1 ⌀ | sensor_id2_AccX float64 -0.02 1 ⌀ | sensor_id2_AccY float64 0 1 ⌀ | sensor_id2_AccZ float64 -0.01 1 ⌀ | sensor_id2_GyroX float64 -0 1 ⌀ | sensor_id2_GyroY float64 0 1 ⌀ | sensor_id2_GyroZ float64 0 1 ⌀ | sensor_id6_AccX float64 -1.24 1 ⌀ | sensor_id6_AccY float64 -0 1 ⌀ | sensor_id6_AccZ float64 0 1 ⌀ | sensor_id6_GyroX float64 0 1 ⌀ | sensor_id6_GyroY float64 0 1 ⌀ | sensor_id6_GyroZ float64 -0 1 ⌀ | sensor_id1_AccX float64 0 1 ⌀ | sensor_id1_AccY float64 0 1 ⌀ | sensor_id1_AccZ float64 0 1 ⌀ | sensor_id1_GyroX float64 0 1 ⌀ | sensor_id1_GyroY float64 0 1 ⌀ | sensor_id1_GyroZ float64 0 1.32 ⌀ | sensor_id3_AccX float64 -0.02 1 ⌀ | sensor_id3_AccY float64 -0.01 1 ⌀ | sensor_id3_AccZ float64 -0.01 1.02 ⌀ | sensor_id3_GyroX float64 0 1 ⌀ | sensor_id3_GyroY float64 0 1 ⌀ | sensor_id3_GyroZ float64 -0 1 ⌀ | sensor_id5_AccX float64 -0.02 1 ⌀ | sensor_id5_AccY float64 0 1 ⌀ | sensor_id5_AccZ float64 0 1 ⌀ | sensor_id5_GyroX float64 0 1 ⌀ | sensor_id5_GyroY float64 0 1 ⌀ | sensor_id5_GyroZ float64 0 1 ⌀ | sensor_id0_AccX float64 -0.03 1 ⌀ | sensor_id0_AccY float64 0 1 ⌀ | sensor_id0_AccZ float64 0 1.01 ⌀ | sensor_id0_GyroX float64 0 1.55 ⌀ | sensor_id0_GyroY float64 -0 1 ⌀ | sensor_id0_GyroZ float64 0 1 ⌀ | working_interval_id int32 0 3.5k | db_category stringclasses 5 values | anomaly float64 0 2 ⌀ | action float64 0 30 | custom_db_category stringclasses 2 values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0.470687 | 0.514811 | 0.486063 | 0.540809 | 0.534112 | 0.492974 | 0.384049 | 0.375371 | 0.487162 | 0.104389 | 0.833682 | 0.763938 | 0.519993 | 0.12714 | 0.102448 | 0.071128 | 0.058994 | 0.085299 | 0.101744 | 0.368761 | 0.07833 | 0.972895 | 0.715793 | 0.313958 | 0.406363 | 0.336043 | 0.345938 | 0.237091 | 0.124109 | 0.902701 | 0.35653 | 0.359317 | 0.157727 | 0.423444 | 0.406285 | 0.393196 | 0.70757 | 0.689168 | 0.601713 | 0.594871 | 0.042943 | 0.960164 | 7 | training | null | 3 | training |
0.45024 | 0.511383 | 0.484589 | 0.534719 | 0.529675 | 0.491783 | 0.19723 | 0.353912 | 0.499738 | 0.175201 | 0.904064 | 0.694124 | 0.519653 | 0.106332 | 0.096087 | 0.051137 | 0.044708 | 0.058557 | 0.058711 | 0.338339 | 0.073751 | 0.974238 | 0.714014 | 0.312121 | 0.250901 | 0.218798 | 0.278509 | 0.340771 | 0.098107 | 0.847742 | 0.459094 | 0.332884 | 0.303479 | 0.505269 | 0.603537 | 0.271748 | 0.895604 | 0.718995 | 0.351178 | 0.548763 | 0.045898 | 0.946788 | 7 | training | null | 3 | training |
0.460664 | 0.503187 | 0.482172 | 0.531492 | 0.524271 | 0.486834 | 0.369945 | 0.240673 | 0.56659 | 0.247342 | 0.951822 | 0.64892 | 0.448549 | 0.149788 | 0.093034 | 0.037783 | 0.023521 | 0.033044 | 0.091916 | 0.402522 | 0.106647 | 0.975448 | 0.712552 | 0.309812 | 0.39894 | 0.436412 | 0.385646 | 0.403946 | 0.092022 | 0.761939 | 0.31583 | 0.367963 | 0.284623 | 0.436741 | 0.797988 | 0.135659 | 0.70696 | 0.599686 | 0.473233 | 0.548763 | 0.045898 | 0.953124 | 7 | training | null | 3 | training |
0.488801 | 0.507301 | 0.476367 | 0.53131 | 0.52202 | 0.487125 | 0.173646 | 0.053483 | 0.681431 | 0.34342 | 0.914537 | 0.562029 | 0.536463 | 0.142215 | 0.110718 | 0.026428 | 0.013569 | 0.032736 | 0.104424 | 0.38558 | 0.107912 | 0.972089 | 0.708118 | 0.309011 | 0.262566 | 0.230641 | 0.395011 | 0.467864 | 0.170026 | 0.656228 | 0.644685 | 0.361787 | 0.357243 | 0.445946 | 0.909502 | 0.151593 | 0.409035 | 0.605965 | 0.460385 | 0.664033 | 0.100581 | 0.897859 | 7 | training | null | 3 | training |
0.488801 | 0.507301 | 0.476367 | 0.53131 | 0.52202 | 0.487125 | 0.226594 | 0.181248 | 0.731404 | 0.455456 | 0.674906 | 0.529382 | 0.450934 | 0.176328 | 0.121595 | 0.041621 | 0.033874 | 0.063936 | 0.076728 | 0.388672 | 0.107008 | 0.961475 | 0.696819 | 0.334218 | 0.274655 | 0.313838 | 0.516384 | 0.494992 | 0.350378 | 0.54631 | 0.855021 | 0.374387 | 0.387566 | 0.449015 | 0.704965 | 0.316537 | 0.501832 | 0.472527 | 0.505353 | 0.571817 | 0.322268 | 0.672576 | 7 | training | null | 3 | training |
0.488801 | 0.507301 | 0.476367 | 0.53131 | 0.52202 | 0.487125 | 0.346824 | 0.222516 | 0.716842 | 0.503993 | 0.494344 | 0.506781 | 0.441166 | 0.136341 | 0.113389 | 0.056175 | 0.050567 | 0.090217 | 0.097872 | 0.376367 | 0.101044 | 0.954086 | 0.689032 | 0.354006 | 0.269565 | 0.364467 | 0.332078 | 0.499079 | 0.494769 | 0.491352 | 0.516724 | 0.380563 | 0.353931 | 0.474585 | 0.495385 | 0.494832 | 0.531746 | 0.411303 | 0.533191 | 0.67556 | 0.507008 | 0.488829 | 7 | training | null | 3 | training |
0.467931 | 0.50258 | 0.48655 | 0.541554 | 0.519342 | 0.499313 | 0.331564 | 0.240343 | 0.724785 | 0.502331 | 0.505656 | 0.503265 | 0.433783 | 0.14172 | 0.114852 | 0.054496 | 0.051209 | 0.091601 | 0.098691 | 0.379026 | 0.103152 | 0.954556 | 0.689572 | 0.352546 | 0.283775 | 0.359433 | 0.345563 | 0.502052 | 0.493663 | 0.493875 | 0.53626 | 0.389456 | 0.352912 | 0.49095 | 0.497066 | 0.504307 | 0.518926 | 0.431711 | 0.51606 | 0.640979 | 0.496662 | 0.501853 | 7 | training | null | 3 | training |
0.468398 | 0.502907 | 0.48611 | 0.541554 | 0.519294 | 0.499328 | 0.330871 | 0.224827 | 0.720814 | 0.502331 | 0.506494 | 0.500753 | 0.43401 | 0.138535 | 0.115616 | 0.054576 | 0.050888 | 0.091601 | 0.096458 | 0.377665 | 0.102188 | 0.95459 | 0.689572 | 0.352687 | 0.272534 | 0.365651 | 0.342192 | 0.502424 | 0.495876 | 0.494997 | 0.522585 | 0.389209 | 0.358008 | 0.49095 | 0.496506 | 0.503015 | 0.52381 | 0.434851 | 0.526767 | 0.629452 | 0.496662 | 0.500797 | 7 | training | null | 3 | training |
0.468287 | 0.502626 | 0.486299 | 0.541537 | 0.519342 | 0.499328 | 0.330871 | 0.23242 | 0.721145 | 0.502331 | 0.504399 | 0.501758 | 0.433669 | 0.138676 | 0.115298 | 0.054496 | 0.051048 | 0.091524 | 0.097351 | 0.378655 | 0.10261 | 0.954523 | 0.689527 | 0.35264 | 0.278473 | 0.362098 | 0.342941 | 0.502424 | 0.494769 | 0.494716 | 0.530074 | 0.390444 | 0.355969 | 0.489927 | 0.495945 | 0.503015 | 0.521368 | 0.430141 | 0.533191 | 0.640979 | 0.496662 | 0.500093 | 7 | training | null | 3 | training |
0.468243 | 0.502735 | 0.486283 | 0.541587 | 0.519342 | 0.499313 | 0.332258 | 0.230439 | 0.721476 | 0.502663 | 0.503561 | 0.501758 | 0.433783 | 0.139384 | 0.115488 | 0.054735 | 0.051209 | 0.091524 | 0.097426 | 0.378531 | 0.102369 | 0.954523 | 0.689504 | 0.352828 | 0.277625 | 0.36269 | 0.340319 | 0.502052 | 0.495322 | 0.494716 | 0.527795 | 0.390197 | 0.35495 | 0.487881 | 0.494824 | 0.503015 | 0.521978 | 0.427002 | 0.509636 | 0.640979 | 0.496662 | 0.499389 | 7 | training | null | 3 | training |
0.468309 | 0.50272 | 0.486142 | 0.541554 | 0.519342 | 0.499343 | 0.33272 | 0.229119 | 0.720814 | 0.502331 | 0.504818 | 0.50226 | 0.433669 | 0.138676 | 0.115043 | 0.054576 | 0.051289 | 0.091524 | 0.097426 | 0.378407 | 0.10261 | 0.954523 | 0.689504 | 0.352734 | 0.278261 | 0.363282 | 0.341443 | 0.502052 | 0.495322 | 0.494716 | 0.526492 | 0.390938 | 0.355715 | 0.49095 | 0.495945 | 0.503015 | 0.525031 | 0.431711 | 0.518201 | 0.606398 | 0.499618 | 0.499389 | 7 | training | null | 3 | training |
0.46842 | 0.502767 | 0.48622 | 0.541554 | 0.519358 | 0.499297 | 0.332027 | 0.229449 | 0.719821 | 0.502331 | 0.50398 | 0.502762 | 0.433783 | 0.139172 | 0.115043 | 0.054496 | 0.051209 | 0.091601 | 0.097575 | 0.378407 | 0.10261 | 0.95459 | 0.689549 | 0.352687 | 0.276776 | 0.363282 | 0.340319 | 0.502424 | 0.494769 | 0.493595 | 0.525841 | 0.390691 | 0.35546 | 0.49095 | 0.496506 | 0.503015 | 0.521978 | 0.428571 | 0.513919 | 0.629452 | 0.49814 | 0.499389 | 7 | training | null | 3 | training |
0.468287 | 0.502751 | 0.486299 | 0.541587 | 0.519358 | 0.499313 | 0.331795 | 0.231099 | 0.720483 | 0.502331 | 0.504399 | 0.503265 | 0.434464 | 0.138818 | 0.114725 | 0.054656 | 0.051369 | 0.091601 | 0.097426 | 0.378098 | 0.10249 | 0.954523 | 0.689482 | 0.352828 | 0.276988 | 0.362986 | 0.341817 | 0.501681 | 0.495322 | 0.494156 | 0.526492 | 0.391926 | 0.354441 | 0.49095 | 0.495945 | 0.503015 | 0.52381 | 0.433281 | 0.524625 | 0.640979 | 0.49814 | 0.499037 | 7 | training | null | 3 | training |
0.468309 | 0.502751 | 0.486299 | 0.541554 | 0.519326 | 0.499313 | 0.332258 | 0.231099 | 0.720152 | 0.502331 | 0.504818 | 0.503265 | 0.433101 | 0.138676 | 0.115298 | 0.054656 | 0.051209 | 0.091524 | 0.097053 | 0.378407 | 0.10261 | 0.954523 | 0.689504 | 0.352828 | 0.277625 | 0.362986 | 0.341443 | 0.502052 | 0.494769 | 0.494156 | 0.526167 | 0.38995 | 0.35495 | 0.488904 | 0.494264 | 0.503015 | 0.521978 | 0.431711 | 0.520343 | 0.664033 | 0.495184 | 0.499389 | 7 | training | null | 3 | training |
0.468243 | 0.502813 | 0.486299 | 0.541554 | 0.519374 | 0.499297 | 0.333183 | 0.231099 | 0.718828 | 0.502331 | 0.504818 | 0.503265 | 0.434237 | 0.139101 | 0.114979 | 0.054656 | 0.051209 | 0.091524 | 0.097649 | 0.378407 | 0.102851 | 0.95459 | 0.689527 | 0.352828 | 0.2772 | 0.363874 | 0.341443 | 0.503167 | 0.494769 | 0.494156 | 0.527795 | 0.38995 | 0.355715 | 0.49095 | 0.495385 | 0.503015 | 0.52442 | 0.430141 | 0.520343 | 0.652506 | 0.493706 | 0.499389 | 7 | training | null | 3 | training |
0.468198 | 0.502813 | 0.486283 | 0.541537 | 0.519358 | 0.499328 | 0.331795 | 0.229449 | 0.721145 | 0.502663 | 0.504399 | 0.503265 | 0.433101 | 0.139243 | 0.115234 | 0.054656 | 0.051209 | 0.091524 | 0.097277 | 0.378469 | 0.10261 | 0.954523 | 0.689527 | 0.352875 | 0.277837 | 0.361506 | 0.341068 | 0.501681 | 0.494769 | 0.494156 | 0.527469 | 0.391185 | 0.35495 | 0.49095 | 0.495945 | 0.503015 | 0.521978 | 0.427002 | 0.522484 | 0.617925 | 0.495184 | 0.499389 | 7 | training | null | 3 | training |
0.468243 | 0.502751 | 0.486267 | 0.541587 | 0.519358 | 0.499359 | 0.331564 | 0.230109 | 0.720152 | 0.502663 | 0.504399 | 0.503265 | 0.433669 | 0.139172 | 0.115552 | 0.054576 | 0.051209 | 0.091524 | 0.097128 | 0.378655 | 0.102731 | 0.954556 | 0.689504 | 0.352828 | 0.277625 | 0.36269 | 0.341817 | 0.502052 | 0.495876 | 0.494156 | 0.526818 | 0.390691 | 0.35546 | 0.491973 | 0.497626 | 0.503015 | 0.52442 | 0.437991 | 0.522484 | 0.640979 | 0.493706 | 0.499389 | 7 | training | null | 3 | training |
0.468287 | 0.502751 | 0.486173 | 0.541554 | 0.519326 | 0.499297 | 0.332489 | 0.23143 | 0.720483 | 0.502331 | 0.504399 | 0.503265 | 0.433329 | 0.138535 | 0.114916 | 0.054576 | 0.051209 | 0.091524 | 0.097426 | 0.378222 | 0.10249 | 0.954523 | 0.689504 | 0.352828 | 0.277625 | 0.36269 | 0.342567 | 0.500937 | 0.493663 | 0.494156 | 0.527469 | 0.390444 | 0.355969 | 0.489927 | 0.497066 | 0.503015 | 0.52381 | 0.416013 | 0.526767 | 0.640979 | 0.496662 | 0.499389 | 7 | training | null | 3 | training |
0.468354 | 0.502813 | 0.486299 | 0.541587 | 0.519263 | 0.499649 | 0.332258 | 0.230439 | 0.721145 | 0.502331 | 0.504399 | 0.503265 | 0.434351 | 0.138747 | 0.114916 | 0.054656 | 0.051289 | 0.091524 | 0.097128 | 0.378222 | 0.10249 | 0.954523 | 0.689504 | 0.352828 | 0.276776 | 0.362098 | 0.341443 | 0.501309 | 0.494769 | 0.494156 | 0.528446 | 0.391185 | 0.354441 | 0.491973 | 0.497066 | 0.503015 | 0.523199 | 0.434851 | 0.522484 | 0.640979 | 0.496662 | 0.499389 | 7 | training | null | 3 | training |
0.468309 | 0.502813 | 0.486267 | 0.541587 | 0.519263 | 0.499649 | 0.332258 | 0.231099 | 0.719821 | 0.502331 | 0.504818 | 0.503265 | 0.434124 | 0.139313 | 0.115488 | 0.054895 | 0.051129 | 0.091524 | 0.097426 | 0.378531 | 0.10255 | 0.954556 | 0.689504 | 0.352828 | 0.278261 | 0.362986 | 0.341443 | 0.502052 | 0.493663 | 0.494156 | 0.525841 | 0.391432 | 0.354695 | 0.489927 | 0.497066 | 0.503015 | 0.52381 | 0.431711 | 0.518201 | 0.640979 | 0.495184 | 0.499389 | 7 | training | null | 3 | training |
0.468376 | 0.502813 | 0.486252 | 0.541587 | 0.519263 | 0.499649 | 0.331795 | 0.230109 | 0.722469 | 0.502663 | 0.504818 | 0.503265 | 0.434124 | 0.139313 | 0.115616 | 0.054735 | 0.051209 | 0.091524 | 0.097277 | 0.378407 | 0.10267 | 0.954523 | 0.689504 | 0.352828 | 0.278685 | 0.364467 | 0.342941 | 0.503539 | 0.495322 | 0.494156 | 0.525841 | 0.390444 | 0.354186 | 0.49095 | 0.495945 | 0.503015 | 0.521368 | 0.430141 | 0.520343 | 0.640979 | 0.496662 | 0.499389 | 7 | training | null | 3 | training |
0.468265 | 0.502735 | 0.486252 | 0.541587 | 0.519263 | 0.499649 | 0.332258 | 0.23143 | 0.721807 | 0.502331 | 0.50398 | 0.503265 | 0.434351 | 0.138889 | 0.115298 | 0.054656 | 0.051129 | 0.091524 | 0.097128 | 0.378345 | 0.10267 | 0.954523 | 0.689504 | 0.352828 | 0.278261 | 0.363578 | 0.342567 | 0.500194 | 0.494769 | 0.494156 | 0.527469 | 0.390938 | 0.35495 | 0.49095 | 0.495945 | 0.503015 | 0.52442 | 0.433281 | 0.51606 | 0.629452 | 0.496662 | 0.499389 | 7 | training | null | 3 | training |
0.468376 | 0.502844 | 0.486236 | 0.541587 | 0.519263 | 0.499649 | 0.332027 | 0.229779 | 0.71949 | 0.502331 | 0.504399 | 0.503265 | 0.433215 | 0.13903 | 0.115425 | 0.054656 | 0.051209 | 0.091524 | 0.096905 | 0.378593 | 0.102369 | 0.954523 | 0.689504 | 0.352828 | 0.276776 | 0.361802 | 0.340319 | 0.502795 | 0.495322 | 0.494156 | 0.528772 | 0.392174 | 0.35495 | 0.489927 | 0.495945 | 0.503015 | 0.523199 | 0.428571 | 0.520343 | 0.652506 | 0.496662 | 0.499389 | 7 | training | null | 3 | training |
0.468309 | 0.502767 | 0.486236 | 0.541587 | 0.519263 | 0.499649 | 0.331795 | 0.230769 | 0.720152 | 0.502331 | 0.504399 | 0.503265 | 0.433669 | 0.138818 | 0.114979 | 0.054656 | 0.051369 | 0.091524 | 0.097128 | 0.378222 | 0.102429 | 0.954556 | 0.689504 | 0.352828 | 0.277837 | 0.363282 | 0.343316 | 0.501681 | 0.494769 | 0.494156 | 0.527144 | 0.391679 | 0.354441 | 0.49095 | 0.497066 | 0.503015 | 0.522589 | 0.425432 | 0.520343 | 0.640979 | 0.496662 | 0.499389 | 7 | training | null | 3 | training |
0.468443 | 0.502798 | 0.48622 | 0.541587 | 0.519263 | 0.499649 | 0.330639 | 0.23209 | 0.721476 | 0.502331 | 0.504399 | 0.503265 | 0.433783 | 0.138393 | 0.114916 | 0.054576 | 0.051289 | 0.091524 | 0.097053 | 0.378222 | 0.10261 | 0.954523 | 0.689504 | 0.352828 | 0.2772 | 0.363874 | 0.341068 | 0.502052 | 0.495322 | 0.494156 | 0.526492 | 0.390444 | 0.35495 | 0.49095 | 0.495945 | 0.503015 | 0.521368 | 0.427002 | 0.524625 | 0.640979 | 0.493706 | 0.499389 | 7 | training | null | 3 | training |
0.468376 | 0.502782 | 0.486236 | 0.541587 | 0.519263 | 0.499649 | 0.331564 | 0.230439 | 0.720483 | 0.502331 | 0.504399 | 0.503265 | 0.433897 | 0.139101 | 0.115107 | 0.054656 | 0.051209 | 0.091524 | 0.097277 | 0.378222 | 0.10255 | 0.954523 | 0.689527 | 0.352828 | 0.276988 | 0.364467 | 0.340694 | 0.501309 | 0.494769 | 0.494156 | 0.527469 | 0.390444 | 0.354441 | 0.49095 | 0.494824 | 0.503015 | 0.525031 | 0.427002 | 0.526767 | 0.640979 | 0.499618 | 0.499389 | 7 | training | null | 3 | training |
0.468309 | 0.502844 | 0.486205 | 0.541587 | 0.519263 | 0.499649 | 0.331102 | 0.229449 | 0.721476 | 0.502331 | 0.504399 | 0.503265 | 0.432647 | 0.138818 | 0.115361 | 0.054656 | 0.051048 | 0.091524 | 0.097351 | 0.378345 | 0.103032 | 0.954523 | 0.689504 | 0.352828 | 0.276988 | 0.36269 | 0.342567 | 0.501681 | 0.494769 | 0.494156 | 0.526167 | 0.391926 | 0.354695 | 0.49095 | 0.495945 | 0.503015 | 0.525031 | 0.430141 | 0.535332 | 0.640979 | 0.496662 | 0.499389 | 7 | training | null | 3 | training |
0.468376 | 0.502767 | 0.486205 | 0.541587 | 0.519263 | 0.499649 | 0.332027 | 0.229449 | 0.721476 | 0.502331 | 0.503561 | 0.503265 | 0.432988 | 0.138818 | 0.115234 | 0.054656 | 0.05145 | 0.091524 | 0.097575 | 0.378284 | 0.102369 | 0.954422 | 0.689504 | 0.352828 | 0.277837 | 0.363874 | 0.340694 | 0.502052 | 0.494769 | 0.494156 | 0.526818 | 0.391679 | 0.354441 | 0.489927 | 0.494824 | 0.503015 | 0.522589 | 0.431711 | 0.51606 | 0.640979 | 0.49814 | 0.499389 | 7 | training | null | 3 | training |
0.468265 | 0.502876 | 0.486252 | 0.541587 | 0.519263 | 0.499649 | 0.331333 | 0.231099 | 0.721476 | 0.502331 | 0.505237 | 0.503265 | 0.434578 | 0.138818 | 0.115234 | 0.054496 | 0.051209 | 0.091524 | 0.097575 | 0.378716 | 0.10261 | 0.954489 | 0.689482 | 0.352828 | 0.277625 | 0.362098 | 0.341817 | 0.500566 | 0.494769 | 0.494156 | 0.525516 | 0.390691 | 0.355715 | 0.489927 | 0.494824 | 0.503015 | 0.52442 | 0.430141 | 0.51606 | 0.640979 | 0.493706 | 0.499389 | 7 | training | null | 3 | training |
0.468265 | 0.50286 | 0.48622 | 0.541587 | 0.519263 | 0.499649 | 0.329946 | 0.230439 | 0.720483 | 0.501998 | 0.504399 | 0.503265 | 0.43401 | 0.13903 | 0.114725 | 0.054656 | 0.051129 | 0.091524 | 0.097724 | 0.378469 | 0.10261 | 0.95459 | 0.689504 | 0.352828 | 0.278473 | 0.362986 | 0.33957 | 0.502424 | 0.495322 | 0.494156 | 0.52812 | 0.391432 | 0.353931 | 0.49095 | 0.494264 | 0.503015 | 0.52442 | 0.425432 | 0.526767 | 0.629452 | 0.499618 | 0.499389 | 7 | training | null | 3 | training |
0.468331 | 0.502798 | 0.486189 | 0.541587 | 0.519263 | 0.499649 | 0.332027 | 0.23209 | 0.71949 | 0.502331 | 0.503561 | 0.503265 | 0.433215 | 0.138889 | 0.115234 | 0.054576 | 0.051369 | 0.091524 | 0.097575 | 0.378407 | 0.10267 | 0.954455 | 0.689527 | 0.352828 | 0.277625 | 0.363578 | 0.341068 | 0.501681 | 0.494769 | 0.494156 | 0.526167 | 0.390691 | 0.355715 | 0.491973 | 0.497066 | 0.503015 | 0.525641 | 0.43956 | 0.526767 | 0.640979 | 0.49814 | 0.499389 | 8 | training | null | 4 | training |
0.468398 | 0.502813 | 0.486173 | 0.541587 | 0.519263 | 0.499649 | 0.332951 | 0.229779 | 0.719821 | 0.502996 | 0.50398 | 0.503265 | 0.432988 | 0.138889 | 0.115298 | 0.054656 | 0.051209 | 0.091524 | 0.097724 | 0.378716 | 0.102911 | 0.954523 | 0.689504 | 0.352828 | 0.276776 | 0.363578 | 0.342192 | 0.501681 | 0.494769 | 0.494156 | 0.527144 | 0.390691 | 0.354695 | 0.49095 | 0.495945 | 0.503015 | 0.520757 | 0.423862 | 0.518201 | 0.652506 | 0.496662 | 0.499389 | 8 | training | null | 4 | training |
0.468265 | 0.502798 | 0.486205 | 0.541587 | 0.519263 | 0.499649 | 0.331795 | 0.230439 | 0.721145 | 0.502331 | 0.50398 | 0.503265 | 0.433442 | 0.139455 | 0.115107 | 0.054735 | 0.051289 | 0.091524 | 0.097053 | 0.378593 | 0.102731 | 0.954489 | 0.689482 | 0.352828 | 0.277625 | 0.362394 | 0.340319 | 0.500937 | 0.494769 | 0.494156 | 0.52812 | 0.38995 | 0.35546 | 0.49095 | 0.494264 | 0.503015 | 0.522589 | 0.436421 | 0.531049 | 0.664033 | 0.496662 | 0.499389 | 8 | training | null | 4 | training |
0.46842 | 0.502907 | 0.486189 | 0.541587 | 0.519263 | 0.499649 | 0.331795 | 0.230439 | 0.71949 | 0.502663 | 0.50398 | 0.503265 | 0.433783 | 0.139101 | 0.115107 | 0.054656 | 0.051129 | 0.091524 | 0.097202 | 0.378098 | 0.102309 | 0.954556 | 0.689482 | 0.352828 | 0.2772 | 0.362098 | 0.341068 | 0.502052 | 0.495876 | 0.494156 | 0.527144 | 0.389456 | 0.354695 | 0.491973 | 0.495945 | 0.503015 | 0.521978 | 0.431711 | 0.513919 | 0.652506 | 0.496662 | 0.499389 | 8 | training | null | 4 | training |
0.468331 | 0.502798 | 0.486205 | 0.541587 | 0.519263 | 0.499649 | 0.331333 | 0.230439 | 0.721807 | 0.502331 | 0.50398 | 0.503265 | 0.433556 | 0.138747 | 0.11517 | 0.054656 | 0.051209 | 0.091524 | 0.096979 | 0.378655 | 0.10249 | 0.954523 | 0.689504 | 0.352828 | 0.277413 | 0.362986 | 0.341443 | 0.502052 | 0.494769 | 0.494156 | 0.525841 | 0.391432 | 0.354441 | 0.49095 | 0.498187 | 0.503015 | 0.52442 | 0.427002 | 0.51606 | 0.652506 | 0.495184 | 0.499389 | 8 | training | null | 4 | training |
0.468309 | 0.502813 | 0.486236 | 0.541587 | 0.519263 | 0.499649 | 0.332027 | 0.230769 | 0.721476 | 0.502331 | 0.50398 | 0.503265 | 0.433669 | 0.138959 | 0.11517 | 0.054656 | 0.051209 | 0.091524 | 0.097277 | 0.378284 | 0.102429 | 0.954523 | 0.689504 | 0.352828 | 0.276988 | 0.363282 | 0.341817 | 0.502052 | 0.494769 | 0.494156 | 0.525516 | 0.391185 | 0.353421 | 0.49095 | 0.495945 | 0.503015 | 0.52381 | 0.422292 | 0.520343 | 0.640979 | 0.499618 | 0.499389 | 8 | training | null | 4 | training |
0.468487 | 0.502611 | 0.486267 | 0.541587 | 0.519263 | 0.499649 | 0.332258 | 0.23308 | 0.721145 | 0.502331 | 0.504399 | 0.503265 | 0.432647 | 0.137898 | 0.114916 | 0.054656 | 0.051209 | 0.091524 | 0.098245 | 0.378655 | 0.102369 | 0.954523 | 0.689504 | 0.352828 | 0.280594 | 0.365355 | 0.340694 | 0.502052 | 0.495876 | 0.493875 | 0.521934 | 0.392174 | 0.353676 | 0.49095 | 0.495945 | 0.503015 | 0.526862 | 0.428571 | 0.51606 | 0.640979 | 0.495184 | 0.498333 | 8 | training | null | 4 | training |
0.468398 | 0.50286 | 0.486205 | 0.541587 | 0.519263 | 0.499649 | 0.331333 | 0.228458 | 0.719159 | 0.502996 | 0.504399 | 0.503265 | 0.434919 | 0.139526 | 0.115234 | 0.054656 | 0.051209 | 0.091524 | 0.096607 | 0.378655 | 0.10261 | 0.954489 | 0.689504 | 0.352734 | 0.275928 | 0.363578 | 0.342567 | 0.501681 | 0.494769 | 0.494156 | 0.526492 | 0.389703 | 0.357243 | 0.49095 | 0.495945 | 0.503015 | 0.522589 | 0.428571 | 0.507495 | 0.640979 | 0.496662 | 0.499389 | 8 | training | null | 4 | training |
0.468331 | 0.502798 | 0.486299 | 0.541587 | 0.519263 | 0.499649 | 0.333183 | 0.23308 | 0.721476 | 0.502663 | 0.50398 | 0.503265 | 0.433215 | 0.139101 | 0.115234 | 0.054656 | 0.051209 | 0.091524 | 0.097872 | 0.378345 | 0.10267 | 0.954489 | 0.689482 | 0.352828 | 0.28017 | 0.362986 | 0.341817 | 0.502424 | 0.494216 | 0.493875 | 0.527144 | 0.390197 | 0.356224 | 0.49095 | 0.495945 | 0.503015 | 0.521368 | 0.423862 | 0.537473 | 0.629452 | 0.49814 | 0.499389 | 8 | training | null | 4 | training |
0.468376 | 0.502798 | 0.486236 | 0.541587 | 0.519263 | 0.499649 | 0.329714 | 0.227468 | 0.721476 | 0.502996 | 0.504399 | 0.503265 | 0.434124 | 0.139526 | 0.115361 | 0.054656 | 0.051209 | 0.091524 | 0.097277 | 0.378407 | 0.102429 | 0.954489 | 0.689504 | 0.352781 | 0.274443 | 0.362098 | 0.342192 | 0.502052 | 0.494769 | 0.494156 | 0.527795 | 0.391185 | 0.354186 | 0.49095 | 0.495945 | 0.503015 | 0.523199 | 0.422292 | 0.522484 | 0.629452 | 0.496662 | 0.498685 | 8 | training | null | 4 | training |
0.467687 | 0.505244 | 0.489593 | 0.545608 | 0.520214 | 0.505941 | 0.232605 | 0.152856 | 0.722138 | 0.548209 | 0.33054 | 0.470618 | 0.459112 | 0.151203 | 0.121468 | 0.06673 | 0.069989 | 0.124721 | 0.080153 | 0.386817 | 0.106225 | 0.947503 | 0.682662 | 0.371062 | 0.258324 | 0.337524 | 0.463939 | 0.513201 | 0.641374 | 0.445085 | 0.626451 | 0.353635 | 0.391643 | 0.521634 | 0.319987 | 0.670543 | 0.449328 | 0.431711 | 0.468951 | 0.606398 | 0.657755 | 0.337818 | 8 | training | null | 4 | training |
0.471621 | 0.512396 | 0.485844 | 0.552013 | 0.519184 | 0.512891 | 0.347749 | 0.187521 | 0.663559 | 0.664566 | 0.088395 | 0.443496 | 0.374378 | 0.185529 | 0.124966 | 0.082643 | 0.087886 | 0.15546 | 0.077473 | 0.372038 | 0.09761 | 0.937225 | 0.671093 | 0.39575 | 0.278049 | 0.319167 | 0.51526 | 0.536241 | 0.839981 | 0.324232 | 0.563936 | 0.345236 | 0.372532 | 0.522657 | 0.075663 | 0.862188 | 0.594017 | 0.317111 | 0.537473 | 0.756249 | 0.901611 | 0.103735 | 8 | training | null | 4 | training |
0.459352 | 0.503125 | 0.486816 | 0.551037 | 0.514049 | 0.510691 | 0.246247 | 0.247606 | 0.727102 | 0.76962 | 0.048597 | 0.367152 | 0.369381 | 0.1253 | 0.110718 | 0.072328 | 0.076731 | 0.14547 | 0.058637 | 0.337535 | 0.081523 | 0.934706 | 0.665962 | 0.398671 | 0.373489 | 0.513984 | 0.50552 | 0.598672 | 0.897517 | 0.210389 | 0.368252 | 0.313614 | 0.383999 | 0.508338 | 0.216878 | 0.864341 | 0.440781 | 0.5573 | 0.366167 | 0.802357 | 0.959249 | 0.036854 | 8 | training | null | 4 | training |
0.464687 | 0.507862 | 0.487052 | 0.550722 | 0.512749 | 0.510126 | 0.446708 | 0.316606 | 0.591081 | 0.781921 | 0.066192 | 0.374686 | 0.447072 | 0.159413 | 0.101239 | 0.071528 | 0.07023 | 0.138016 | 0.083727 | 0.36703 | 0.083813 | 0.935143 | 0.665962 | 0.398436 | 0.396819 | 0.302883 | 0.37778 | 0.609449 | 0.893091 | 0.195248 | 0.475048 | 0.316579 | 0.363359 | 0.520611 | 0.229206 | 0.851852 | 0.370574 | 0.207221 | 0.582441 | 0.67556 | 0.947426 | 0.032278 | 8 | training | null | 4 | training |
0.44824 | 0.506179 | 0.490205 | 0.542199 | 0.504715 | 0.50614 | 0.331333 | 0.485969 | 0.466312 | 0.90127 | 0.174277 | 0.259669 | 0.476831 | 0.094938 | 0.106901 | 0.037703 | 0.045992 | 0.094905 | 0.090353 | 0.35491 | 0.068569 | 0.936251 | 0.663081 | 0.392028 | 0.492471 | 0.424866 | 0.43472 | 0.765899 | 0.865983 | 0.092621 | 0.328203 | 0.40329 | 0.232132 | 0.58198 | 0.596252 | 0.609388 | 0.534799 | 0.257457 | 0.524625 | 0.767776 | 0.962205 | 0.049526 | 8 | training | null | 4 | training |
0.435327 | 0.518223 | 0.490111 | 0.53558 | 0.502116 | 0.504231 | 0.407171 | 0.483328 | 0.420971 | 0.943824 | 0.258483 | 0.15771 | 0.435146 | 0.072432 | 0.089153 | 0.024749 | 0.040856 | 0.062707 | 0.137108 | 0.367277 | 0.065497 | 0.936385 | 0.661821 | 0.386563 | 0.481866 | 0.283046 | 0.492409 | 0.861776 | 0.833896 | 0.052523 | 0.280991 | 0.260254 | 0.388585 | 0.68017 | 0.702724 | 0.450904 | 0.740537 | 0.522763 | 0.674518 | 0.698614 | 0.950382 | 0.041078 | 8 | training | null | 4 | training |
0.453485 | 0.50554 | 0.498003 | 0.528712 | 0.50126 | 0.502871 | 0.272605 | 0.529548 | 0.297857 | 0.970752 | 0.345622 | 0.055249 | 0.56838 | 0.126999 | 0.121341 | 0.020511 | 0.036522 | 0.029586 | 0.049405 | 0.343657 | 0.05899 | 0.935882 | 0.660313 | 0.382699 | 0.546766 | 0.488225 | 0.604416 | 0.975118 | 0.807341 | 0.01523 | 0.418719 | 0.369693 | 0.368965 | 0.740516 | 0.783418 | 0.22739 | 0.413309 | 0.386185 | 0.567452 | 0.698614 | 0.95186 | 0.040374 | 8 | training | null | 4 | training |
0.454996 | 0.496846 | 0.511041 | 0.52992 | 0.509358 | 0.501313 | 0.44902 | 0.867283 | 0.207507 | 0.791229 | 0.465019 | 0.209945 | 0.37063 | 0.087153 | 0.125857 | 0.035544 | 0.046313 | 0.03435 | 0.119538 | 0.318181 | 0.040975 | 0.945051 | 0.671859 | 0.369319 | 0.730435 | 0.749954 | 0.77149 | 0.831675 | 0.659077 | 0.214315 | 0.552866 | 0.596476 | 0.447956 | 0.666874 | 0.665179 | 0.243325 | 0.510379 | 0.395604 | 0.546039 | 0.640979 | 0.7819 | 0.216377 | 8 | training | null | 4 | training |
0.454996 | 0.497687 | 0.505581 | 0.540098 | 0.517995 | 0.500137 | 0.403703 | 0.835589 | 0.234976 | 0.542557 | 0.497277 | 0.453541 | 0.347913 | 0.103643 | 0.117906 | 0.052257 | 0.051771 | 0.082687 | 0.127802 | 0.32319 | 0.042903 | 0.953011 | 0.687141 | 0.354713 | 0.754825 | 0.678897 | 0.850907 | 0.543302 | 0.519664 | 0.456582 | 0.695152 | 0.582889 | 0.424004 | 0.525725 | 0.509394 | 0.465547 | 0.588523 | 0.433281 | 0.518201 | 0.640979 | 0.538044 | 0.456796 | 8 | training | null | 4 | training |
0.454174 | 0.511975 | 0.500812 | 0.541984 | 0.519136 | 0.499496 | 0.423124 | 0.669528 | 0.236962 | 0.496679 | 0.499791 | 0.500753 | 0.448095 | 0.147169 | 0.114089 | 0.054975 | 0.049845 | 0.092984 | 0.106211 | 0.333454 | 0.047723 | 0.95459 | 0.689999 | 0.352451 | 0.641994 | 0.4977 | 0.706684 | 0.49462 | 0.501961 | 0.499203 | 0.505328 | 0.326708 | 0.349599 | 0.47663 | 0.498187 | 0.511628 | 0.513431 | 0.417582 | 0.531049 | 0.640979 | 0.487795 | 0.506429 | 8 | training | null | 4 | training |
0.456174 | 0.509887 | 0.501533 | 0.541339 | 0.519199 | 0.499649 | 0.412951 | 0.667547 | 0.231005 | 0.507318 | 0.504399 | 0.501758 | 0.444346 | 0.144551 | 0.118033 | 0.054176 | 0.051209 | 0.090217 | 0.10368 | 0.334815 | 0.048507 | 0.954388 | 0.689167 | 0.352923 | 0.639024 | 0.531156 | 0.734404 | 0.507255 | 0.494769 | 0.49023 | 0.527469 | 0.357835 | 0.362594 | 0.496064 | 0.500989 | 0.497847 | 0.527473 | 0.456829 | 0.518201 | 0.617925 | 0.499618 | 0.494461 | 8 | training | null | 4 | training |
0.475444 | 0.511352 | 0.505314 | 0.54445 | 0.524794 | 0.498946 | 0.330639 | 0.545064 | 0.231998 | 0.611042 | 0.403435 | 0.554997 | 0.4565 | 0.146391 | 0.191885 | 0.050977 | 0.050085 | 0.091293 | 0.10368 | 0.35491 | 0.051218 | 0.941759 | 0.686781 | 0.354242 | 0.431813 | 0.609023 | 0.853154 | 0.397628 | 0.346505 | 0.412839 | 0.526818 | 0.298051 | 0.685948 | 0.508338 | 0.504911 | 0.570198 | 0.547619 | 0.491366 | 0.522484 | 0.664033 | 0.517353 | 0.479325 | 8 | training | null | 4 | training |
0.453307 | 0.509841 | 0.499415 | 0.545989 | 0.528534 | 0.497923 | 0.398153 | 0.618026 | 0.178714 | 0.66922 | 0.328865 | 0.615269 | 0.449571 | 0.127282 | 0.121531 | 0.059214 | 0.05458 | 0.092523 | 0.100553 | 0.339328 | 0.041759 | 0.931885 | 0.685566 | 0.355608 | 0.58685 | 0.560763 | 0.69582 | 0.337427 | 0.231988 | 0.358441 | 0.444442 | 0.36574 | 0.373296 | 0.460265 | 0.434864 | 0.588286 | 0.547619 | 0.359498 | 0.494647 | 0.640979 | 0.521787 | 0.484605 | 8 | training | null | 4 | training |
0.434949 | 0.507706 | 0.492622 | 0.542663 | 0.521687 | 0.498961 | 0.516303 | 0.758666 | 0.13205 | 0.552198 | 0.437788 | 0.535409 | 0.418563 | 0.148726 | 0.043353 | 0.057534 | 0.05145 | 0.091524 | 0.107998 | 0.306495 | 0.021274 | 0.947167 | 0.688604 | 0.353205 | 0.834783 | 0.526419 | 0.483418 | 0.46712 | 0.427276 | 0.450413 | 0.520632 | 0.418854 | 0.046885 | 0.463334 | 0.480255 | 0.518949 | 0.519536 | 0.44427 | 0.505353 | 0.640979 | 0.49814 | 0.501501 | 8 | training | null | 4 | training |
0.458641 | 0.508952 | 0.498505 | 0.541339 | 0.518724 | 0.500183 | 0.425668 | 0.65203 | 0.140986 | 0.491693 | 0.516967 | 0.492717 | 0.447754 | 0.142569 | 0.123185 | 0.051297 | 0.051048 | 0.091063 | 0.104945 | 0.330548 | 0.031938 | 0.956034 | 0.689684 | 0.352781 | 0.638388 | 0.604286 | 0.662105 | 0.513201 | 0.514132 | 0.503129 | 0.509561 | 0.353388 | 0.384763 | 0.524703 | 0.515558 | 0.505599 | 0.523199 | 0.433281 | 0.528908 | 0.640979 | 0.49814 | 0.499037 | 8 | training | null | 4 | training |
0.460842 | 0.507924 | 0.496136 | 0.541686 | 0.519405 | 0.499649 | 0.372951 | 0.693628 | 0.148598 | 0.503328 | 0.502304 | 0.505274 | 0.386305 | 0.112844 | 0.105311 | 0.055855 | 0.051851 | 0.090986 | 0.108817 | 0.32387 | 0.030311 | 0.954455 | 0.689437 | 0.35297 | 0.666808 | 0.621162 | 0.657236 | 0.500566 | 0.490343 | 0.494436 | 0.55775 | 0.365493 | 0.382979 | 0.494018 | 0.495945 | 0.499139 | 0.561661 | 0.428571 | 0.573876 | 0.652506 | 0.496662 | 0.499037 | 8 | training | null | 4 | training |
0.453574 | 0.508205 | 0.498835 | 0.541587 | 0.519358 | 0.499664 | 0.431217 | 0.665566 | 0.146281 | 0.503328 | 0.503561 | 0.505776 | 0.44162 | 0.142569 | 0.101239 | 0.054256 | 0.050888 | 0.091908 | 0.105169 | 0.327456 | 0.031878 | 0.954388 | 0.689482 | 0.352781 | 0.658749 | 0.586818 | 0.649743 | 0.502795 | 0.49311 | 0.494716 | 0.539191 | 0.358082 | 0.344248 | 0.49095 | 0.495945 | 0.503876 | 0.531136 | 0.44113 | 0.513919 | 0.606398 | 0.496662 | 0.498685 | 8 | training | null | 4 | training |
0.454818 | 0.508843 | 0.499447 | 0.54162 | 0.519231 | 0.499618 | 0.42798 | 0.663915 | 0.139331 | 0.502996 | 0.50398 | 0.502762 | 0.433897 | 0.117656 | 0.104674 | 0.053776 | 0.051209 | 0.091754 | 0.106956 | 0.327704 | 0.030854 | 0.954422 | 0.689504 | 0.352734 | 0.654719 | 0.599845 | 0.64375 | 0.502424 | 0.494769 | 0.494436 | 0.529097 | 0.353635 | 0.351128 | 0.487881 | 0.498187 | 0.506029 | 0.519536 | 0.437991 | 0.51606 | 0.629452 | 0.496662 | 0.499037 | 8 | training | null | 4 | training |
0.455419 | 0.510635 | 0.498301 | 0.54162 | 0.519263 | 0.499633 | 0.43191 | 0.663255 | 0.140655 | 0.502663 | 0.504399 | 0.503767 | 0.442302 | 0.185104 | 0.125221 | 0.054975 | 0.051129 | 0.092062 | 0.104126 | 0.328508 | 0.0323 | 0.954523 | 0.689504 | 0.352828 | 0.654931 | 0.604286 | 0.650493 | 0.501309 | 0.494769 | 0.494716 | 0.543749 | 0.366234 | 0.3417 | 0.487881 | 0.495385 | 0.496555 | 0.521978 | 0.436421 | 0.520343 | 0.640979 | 0.501096 | 0.499389 | 8 | training | null | 4 | training |
0.456419 | 0.508999 | 0.49827 | 0.541637 | 0.519279 | 0.499633 | 0.430986 | 0.664576 | 0.139993 | 0.502331 | 0.504399 | 0.502762 | 0.441507 | 0.147523 | 0.114598 | 0.054656 | 0.051048 | 0.091293 | 0.105466 | 0.328693 | 0.030974 | 0.954623 | 0.689482 | 0.352923 | 0.656628 | 0.595996 | 0.651616 | 0.502052 | 0.494216 | 0.494156 | 0.535284 | 0.357094 | 0.347561 | 0.49095 | 0.494824 | 0.503445 | 0.525641 | 0.431711 | 0.526767 | 0.652506 | 0.496662 | 0.499389 | 8 | training | null | 4 | training |
0.456374 | 0.50889 | 0.498286 | 0.541587 | 0.519247 | 0.499649 | 0.433298 | 0.665236 | 0.140655 | 0.502996 | 0.50398 | 0.502762 | 0.442529 | 0.146603 | 0.115043 | 0.054815 | 0.051209 | 0.091447 | 0.105392 | 0.328384 | 0.031275 | 0.95459 | 0.689482 | 0.352828 | 0.656204 | 0.596292 | 0.650867 | 0.502424 | 0.494216 | 0.494156 | 0.534958 | 0.358082 | 0.347816 | 0.492995 | 0.499307 | 0.502153 | 0.525641 | 0.433281 | 0.520343 | 0.652506 | 0.496662 | 0.499389 | 8 | training | null | 4 | training |
0.435394 | 0.50903 | 0.494567 | 0.540544 | 0.516616 | 0.499954 | 0.522315 | 0.784417 | 0.147936 | 0.445815 | 0.575618 | 0.468609 | 0.44287 | 0.155025 | 0.055185 | 0.056815 | 0.052012 | 0.092062 | 0.112242 | 0.30668 | 0.023925 | 0.963289 | 0.69054 | 0.352593 | 0.834995 | 0.542703 | 0.514885 | 0.541815 | 0.57554 | 0.550236 | 0.564587 | 0.401808 | 0.096063 | 0.470494 | 0.486419 | 0.480189 | 0.523199 | 0.43956 | 0.520343 | 0.640979 | 0.49814 | 0.499389 | 8 | training | null | 4 | training |
0.450973 | 0.508906 | 0.499196 | 0.537185 | 0.511022 | 0.501604 | 0.391448 | 0.629581 | 0.100609 | 0.326465 | 0.701718 | 0.398292 | 0.485805 | 0.143701 | 0.108746 | 0.048338 | 0.053135 | 0.091063 | 0.105615 | 0.323066 | 0.038686 | 0.97884 | 0.693443 | 0.351556 | 0.683351 | 0.573494 | 0.674093 | 0.649583 | 0.742061 | 0.646694 | 0.476676 | 0.38081 | 0.325647 | 0.545159 | 0.555905 | 0.417743 | 0.547619 | 0.466248 | 0.524625 | 0.606398 | 0.487795 | 0.509949 | 8 | training | null | 4 | training |
0.475977 | 0.509046 | 0.506193 | 0.538856 | 0.513573 | 0.500565 | 0.334339 | 0.574117 | 0.235638 | 0.402596 | 0.59824 | 0.434957 | 0.448549 | 0.152407 | 0.182471 | 0.052496 | 0.048561 | 0.091447 | 0.103754 | 0.350891 | 0.051399 | 0.967017 | 0.692093 | 0.351179 | 0.493319 | 0.598957 | 0.853904 | 0.608706 | 0.657417 | 0.56678 | 0.561657 | 0.313367 | 0.597529 | 0.513452 | 0.527326 | 0.444875 | 0.508547 | 0.44898 | 0.535332 | 0.640979 | 0.477449 | 0.514877 | 8 | training | null | 4 | training |
0.454374 | 0.509685 | 0.501533 | 0.541968 | 0.520008 | 0.499023 | 0.413182 | 0.672499 | 0.234314 | 0.516626 | 0.490155 | 0.513812 | 0.433101 | 0.149646 | 0.114534 | 0.060013 | 0.052172 | 0.092062 | 0.103903 | 0.333702 | 0.047362 | 0.952474 | 0.689212 | 0.35297 | 0.648356 | 0.529379 | 0.738525 | 0.486444 | 0.468214 | 0.483781 | 0.555145 | 0.363517 | 0.347306 | 0.45106 | 0.467366 | 0.502584 | 0.52442 | 0.437991 | 0.51606 | 0.640979 | 0.499618 | 0.497981 | 8 | training | null | 4 | training |
0.454152 | 0.509918 | 0.501878 | 0.541488 | 0.519104 | 0.499664 | 0.412951 | 0.682073 | 0.23299 | 0.502331 | 0.506075 | 0.50226 | 0.438326 | 0.147452 | 0.112626 | 0.054176 | 0.050808 | 0.090986 | 0.106211 | 0.333763 | 0.048205 | 0.95459 | 0.689482 | 0.352781 | 0.655567 | 0.529083 | 0.736277 | 0.505025 | 0.498089 | 0.494156 | 0.5444 | 0.363023 | 0.339152 | 0.492995 | 0.498747 | 0.5 | 0.52442 | 0.428571 | 0.522484 | 0.652506 | 0.496662 | 0.498333 | 8 | training | null | 4 | training |
0.452174 | 0.505571 | 0.509645 | 0.541786 | 0.518169 | 0.500214 | 0.324397 | 0.745461 | 0.218759 | 0.478727 | 0.441977 | 0.496735 | 0.377218 | 0.155521 | 0.115361 | 0.052976 | 0.051369 | 0.089065 | 0.120729 | 0.340194 | 0.050133 | 0.952003 | 0.692768 | 0.349719 | 0.686957 | 0.615537 | 0.894361 | 0.507626 | 0.533495 | 0.494156 | 0.71306 | 0.439111 | 0.363359 | 0.508338 | 0.497626 | 0.510336 | 0.603785 | 0.425432 | 0.528908 | 0.652506 | 0.449369 | 0.54515 | 8 | training | null | 4 | training |
0.456797 | 0.507254 | 0.499902 | 0.544698 | 0.516363 | 0.501039 | 0.46798 | 0.684714 | 0.218428 | 0.409245 | 0.235861 | 0.496233 | 0.458431 | 0.118576 | 0.117397 | 0.053936 | 0.050406 | 0.094598 | 0.09482 | 0.33129 | 0.043024 | 0.942968 | 0.701973 | 0.342227 | 0.653446 | 0.535597 | 0.718671 | 0.462289 | 0.636948 | 0.48322 | 0.52519 | 0.38328 | 0.363104 | 0.47663 | 0.482496 | 0.593454 | 0.520757 | 0.381476 | 0.588865 | 0.571817 | 0.274975 | 0.723616 | 8 | training | null | 4 | training |
0.456885 | 0.51397 | 0.49372 | 0.543639 | 0.517361 | 0.500473 | 0.535725 | 0.595576 | 0.225378 | 0.43983 | 0.325094 | 0.501758 | 0.534305 | 0.140729 | 0.110781 | 0.054256 | 0.050487 | 0.092369 | 0.087375 | 0.32251 | 0.039409 | 0.946831 | 0.697719 | 0.346374 | 0.636055 | 0.408581 | 0.554219 | 0.476411 | 0.584945 | 0.486585 | 0.370205 | 0.276558 | 0.303988 | 0.480722 | 0.485298 | 0.562446 | 0.407814 | 0.427002 | 0.543897 | 0.583344 | 0.341481 | 0.655327 | 8 | training | null | 4 | training |
0.454307 | 0.510386 | 0.502898 | 0.540776 | 0.519358 | 0.499649 | 0.423587 | 0.681743 | 0.206845 | 0.513302 | 0.527859 | 0.506781 | 0.44446 | 0.148231 | 0.112371 | 0.053696 | 0.051931 | 0.087528 | 0.106583 | 0.331661 | 0.042602 | 0.955295 | 0.688356 | 0.353535 | 0.660657 | 0.526715 | 0.767744 | 0.518032 | 0.482598 | 0.496399 | 0.53626 | 0.350671 | 0.335075 | 0.504246 | 0.498747 | 0.481912 | 0.506716 | 0.406593 | 0.522484 | 0.67556 | 0.520309 | 0.480733 | 8 | training | null | 4 | training |
0.455196 | 0.509404 | 0.503149 | 0.54162 | 0.519247 | 0.499664 | 0.415494 | 0.676791 | 0.201219 | 0.501666 | 0.504399 | 0.501758 | 0.438781 | 0.14356 | 0.116888 | 0.054576 | 0.051129 | 0.091678 | 0.105913 | 0.332218 | 0.042723 | 0.954556 | 0.689504 | 0.352781 | 0.655567 | 0.548328 | 0.774487 | 0.502052 | 0.495876 | 0.494436 | 0.542121 | 0.371175 | 0.363869 | 0.49095 | 0.495945 | 0.503015 | 0.532357 | 0.430141 | 0.526767 | 0.629452 | 0.49814 | 0.498685 | 8 | training | null | 4 | training |
0.469887 | 0.509311 | 0.503777 | 0.542216 | 0.520483 | 0.499649 | 0.381044 | 0.591945 | 0.203205 | 0.52261 | 0.483033 | 0.510799 | 0.438667 | 0.150425 | 0.160525 | 0.050657 | 0.049443 | 0.091216 | 0.100478 | 0.341616 | 0.045856 | 0.951567 | 0.689054 | 0.352923 | 0.533192 | 0.586818 | 0.827681 | 0.477897 | 0.463235 | 0.478734 | 0.534958 | 0.339801 | 0.52338 | 0.511406 | 0.512756 | 0.519811 | 0.503663 | 0.417582 | 0.509636 | 0.617925 | 0.493706 | 0.497629 | 8 | training | null | 4 | training |
0.458952 | 0.511773 | 0.504499 | 0.545228 | 0.52809 | 0.497358 | 0.420119 | 0.679762 | 0.157864 | 0.675205 | 0.329703 | 0.595178 | 0.45968 | 0.155167 | 0.120259 | 0.057214 | 0.049122 | 0.091601 | 0.109785 | 0.329064 | 0.035011 | 0.932053 | 0.68534 | 0.354336 | 0.702863 | 0.579416 | 0.725039 | 0.357122 | 0.22203 | 0.363769 | 0.57403 | 0.327943 | 0.368455 | 0.438786 | 0.474651 | 0.572782 | 0.555556 | 0.409733 | 0.505353 | 0.67556 | 0.526221 | 0.477213 | 8 | training | null | 4 | training |
0.432238 | 0.509015 | 0.492888 | 0.543308 | 0.524588 | 0.49861 | 0.507979 | 0.750413 | 0.103257 | 0.60406 | 0.375367 | 0.576092 | 0.42197 | 0.136695 | 0.03044 | 0.058494 | 0.054821 | 0.092984 | 0.106732 | 0.312122 | 0.019165 | 0.93971 | 0.687749 | 0.353441 | 0.839236 | 0.520793 | 0.498403 | 0.429959 | 0.323823 | 0.413961 | 0.515422 | 0.416384 | 0.064722 | 0.472539 | 0.451115 | 0.529716 | 0.521978 | 0.420722 | 0.509636 | 0.67556 | 0.496662 | 0.502557 | 8 | training | null | 4 | training |
0.45633 | 0.509467 | 0.498709 | 0.541322 | 0.518597 | 0.500244 | 0.445552 | 0.663585 | 0.117157 | 0.488368 | 0.518643 | 0.492215 | 0.452297 | 0.147523 | 0.115425 | 0.050177 | 0.050246 | 0.09137 | 0.104945 | 0.325107 | 0.026757 | 0.95637 | 0.689819 | 0.352734 | 0.661294 | 0.594516 | 0.680836 | 0.512086 | 0.519664 | 0.50397 | 0.509236 | 0.360058 | 0.345013 | 0.527771 | 0.521722 | 0.505599 | 0.517094 | 0.44113 | 0.51606 | 0.640979 | 0.496662 | 0.499389 | 8 | training | null | 4 | training |
0.458219 | 0.509171 | 0.499541 | 0.541769 | 0.519358 | 0.499786 | 0.436766 | 0.658963 | 0.116164 | 0.504326 | 0.503561 | 0.503265 | 0.442415 | 0.153822 | 0.114598 | 0.054656 | 0.051129 | 0.0926 | 0.106658 | 0.328569 | 0.026817 | 0.954489 | 0.689504 | 0.352734 | 0.656416 | 0.599549 | 0.679337 | 0.499823 | 0.49311 | 0.494156 | 0.527469 | 0.365987 | 0.377628 | 0.489927 | 0.489781 | 0.498708 | 0.539072 | 0.431711 | 0.535332 | 0.640979 | 0.49814 | 0.499389 | 8 | training | null | 4 | training |
0.457752 | 0.509513 | 0.49885 | 0.541537 | 0.519294 | 0.499572 | 0.441159 | 0.661274 | 0.113517 | 0.503661 | 0.502304 | 0.503767 | 0.430716 | 0.136199 | 0.114534 | 0.054016 | 0.051209 | 0.093061 | 0.107253 | 0.327951 | 0.027058 | 0.954187 | 0.689482 | 0.352828 | 0.659385 | 0.585041 | 0.666226 | 0.502052 | 0.492556 | 0.493875 | 0.540493 | 0.362282 | 0.322844 | 0.484813 | 0.492583 | 0.507321 | 0.527473 | 0.427002 | 0.531049 | 0.629452 | 0.501096 | 0.498685 | 8 | training | null | 4 | training |
0.457463 | 0.508501 | 0.49827 | 0.541653 | 0.519326 | 0.49974 | 0.430523 | 0.653351 | 0.119143 | 0.502331 | 0.503561 | 0.503265 | 0.439576 | 0.158705 | 0.129737 | 0.053456 | 0.051209 | 0.091985 | 0.104201 | 0.325725 | 0.026275 | 0.954455 | 0.689504 | 0.352828 | 0.65175 | 0.588594 | 0.675966 | 0.501309 | 0.494216 | 0.494436 | 0.526492 | 0.354129 | 0.340171 | 0.496064 | 0.494264 | 0.509905 | 0.530525 | 0.423862 | 0.520343 | 0.617925 | 0.49814 | 0.499741 | 8 | training | null | 4 | training |
0.455752 | 0.508859 | 0.499666 | 0.541521 | 0.519279 | 0.499618 | 0.44509 | 0.658633 | 0.118812 | 0.502331 | 0.504399 | 0.503265 | 0.446618 | 0.140304 | 0.11129 | 0.054096 | 0.051289 | 0.092292 | 0.105392 | 0.32826 | 0.0276 | 0.954489 | 0.689504 | 0.352828 | 0.659597 | 0.593035 | 0.684207 | 0.502424 | 0.494769 | 0.494156 | 0.543098 | 0.367716 | 0.339662 | 0.494018 | 0.493704 | 0.505599 | 0.528694 | 0.436421 | 0.501071 | 0.629452 | 0.496662 | 0.499037 | 8 | training | null | 4 | training |
0.455641 | 0.509326 | 0.499148 | 0.541587 | 0.519263 | 0.499618 | 0.437228 | 0.657973 | 0.116826 | 0.502331 | 0.502723 | 0.503265 | 0.435146 | 0.147735 | 0.115107 | 0.054895 | 0.050968 | 0.091447 | 0.105913 | 0.32758 | 0.026817 | 0.954623 | 0.689504 | 0.352828 | 0.653871 | 0.59422 | 0.680087 | 0.501681 | 0.494769 | 0.494716 | 0.536586 | 0.358823 | 0.347051 | 0.488904 | 0.495945 | 0.502153 | 0.521368 | 0.434851 | 0.522484 | 0.640979 | 0.496662 | 0.499389 | 8 | training | null | 4 | training |
0.455974 | 0.509342 | 0.499352 | 0.541603 | 0.519263 | 0.49971 | 0.436766 | 0.661935 | 0.115502 | 0.502996 | 0.504818 | 0.502762 | 0.444006 | 0.14724 | 0.114979 | 0.054336 | 0.05145 | 0.091601 | 0.105988 | 0.326838 | 0.026696 | 0.954455 | 0.689504 | 0.352828 | 0.658961 | 0.591851 | 0.675217 | 0.501309 | 0.494769 | 0.494156 | 0.533981 | 0.356847 | 0.347051 | 0.496064 | 0.495945 | 0.503445 | 0.525031 | 0.433281 | 0.524625 | 0.640979 | 0.495184 | 0.499389 | 8 | training | null | 4 | training |
0.443328 | 0.508921 | 0.496607 | 0.541223 | 0.518328 | 0.49971 | 0.486708 | 0.731925 | 0.112193 | 0.478062 | 0.536238 | 0.490206 | 0.440825 | 0.145612 | 0.074205 | 0.056895 | 0.052734 | 0.091447 | 0.108072 | 0.313482 | 0.022419 | 0.958251 | 0.689932 | 0.352734 | 0.783457 | 0.55721 | 0.595426 | 0.514687 | 0.52409 | 0.512943 | 0.544726 | 0.38575 | 0.190343 | 0.480722 | 0.480255 | 0.492248 | 0.528694 | 0.436421 | 0.520343 | 0.640979 | 0.501096 | 0.499389 | 8 | training | null | 4 | training |
0.442906 | 0.510215 | 0.499039 | 0.538443 | 0.511339 | 0.501711 | 0.453182 | 0.733245 | 0.133374 | 0.341425 | 0.693758 | 0.412356 | 0.460589 | 0.140233 | 0.07605 | 0.049778 | 0.051209 | 0.090986 | 0.113656 | 0.327951 | 0.032962 | 0.977026 | 0.692835 | 0.351226 | 0.710286 | 0.537966 | 0.659858 | 0.628401 | 0.744274 | 0.620617 | 0.543098 | 0.382045 | 0.217353 | 0.546182 | 0.524524 | 0.445306 | 0.520757 | 0.430141 | 0.535332 | 0.67556 | 0.487795 | 0.506781 | 8 | training | null | 4 | training |
0.473465 | 0.511025 | 0.504593 | 0.538227 | 0.511117 | 0.501115 | 0.390755 | 0.606801 | 0.197578 | 0.373341 | 0.623377 | 0.421396 | 0.456727 | 0.142357 | 0.168667 | 0.051377 | 0.047517 | 0.092523 | 0.105243 | 0.346377 | 0.048326 | 0.970611 | 0.692948 | 0.350991 | 0.522163 | 0.60399 | 0.851656 | 0.633232 | 0.722145 | 0.582202 | 0.509887 | 0.323496 | 0.530259 | 0.504246 | 0.544137 | 0.438415 | 0.56105 | 0.423862 | 0.505353 | 0.652506 | 0.471538 | 0.519805 | 8 | training | null | 4 | training |
0.459664 | 0.509903 | 0.503102 | 0.541637 | 0.519865 | 0.499343 | 0.402778 | 0.637834 | 0.202543 | 0.51031 | 0.49602 | 0.513812 | 0.434237 | 0.14356 | 0.132154 | 0.058894 | 0.053296 | 0.091447 | 0.102935 | 0.337473 | 0.044169 | 0.953414 | 0.689369 | 0.352923 | 0.602545 | 0.557803 | 0.788722 | 0.493505 | 0.471534 | 0.489669 | 0.534958 | 0.34153 | 0.446427 | 0.469471 | 0.467926 | 0.498708 | 0.518315 | 0.43956 | 0.546039 | 0.652506 | 0.496662 | 0.499741 | 8 | training | null | 4 | training |
0.452707 | 0.510495 | 0.502679 | 0.541537 | 0.519326 | 0.499664 | 0.428673 | 0.689667 | 0.204198 | 0.504658 | 0.50398 | 0.504269 | 0.441847 | 0.14908 | 0.108809 | 0.054656 | 0.05161 | 0.091293 | 0.105839 | 0.32993 | 0.04218 | 0.954388 | 0.689392 | 0.352875 | 0.673807 | 0.52405 | 0.751262 | 0.502052 | 0.492556 | 0.494156 | 0.533656 | 0.357094 | 0.316474 | 0.492995 | 0.492583 | 0.502153 | 0.520147 | 0.436421 | 0.520343 | 0.640979 | 0.496662 | 0.497981 | 8 | training | null | 4 | training |
0.454641 | 0.504325 | 0.503887 | 0.542265 | 0.519722 | 0.499572 | 0.431448 | 0.730274 | 0.200557 | 0.484711 | 0.514034 | 0.522853 | 0.40834 | 0.126786 | 0.12045 | 0.053696 | 0.049764 | 0.094675 | 0.113582 | 0.327518 | 0.040975 | 0.955698 | 0.690495 | 0.352027 | 0.697773 | 0.602214 | 0.798837 | 0.487559 | 0.488131 | 0.515466 | 0.57403 | 0.441829 | 0.384763 | 0.489927 | 0.506592 | 0.515935 | 0.54884 | 0.419152 | 0.526767 | 0.640979 | 0.483361 | 0.512413 | 8 | training | null | 4 | training |
0.453574 | 0.492 | 0.503243 | 0.553651 | 0.528122 | 0.498977 | 0.467517 | 0.815121 | 0.168455 | 0.268287 | 0.573942 | 0.784028 | 0.437531 | 0.112136 | 0.134699 | 0.068569 | 0.05771 | 0.153078 | 0.131673 | 0.317007 | 0.031637 | 0.964767 | 0.703346 | 0.341238 | 0.812301 | 0.672087 | 0.773738 | 0.194355 | 0.364761 | 0.745115 | 0.500444 | 0.637732 | 0.450759 | 0.363098 | 0.359213 | 0.760982 | 0.607448 | 0.477237 | 0.428266 | 0.491128 | 0.303055 | 0.695104 | 8 | training | null | 4 | training |
0.44175 | 0.504403 | 0.498442 | 0.557226 | 0.53706 | 0.498198 | 0.589135 | 0.668868 | 0.240933 | 0.049535 | 0.713867 | 0.985434 | 0.546458 | 0.058701 | 0.062373 | 0.079844 | 0.067822 | 0.170291 | 0.101372 | 0.36635 | 0.054471 | 0.975347 | 0.715725 | 0.329695 | 0.558643 | 0.699622 | 0.644499 | 0.004459 | 0.208752 | 0.975044 | 0.373461 | 0.456898 | 0.36132 | 0.315026 | 0.230327 | 0.841516 | 0.685592 | 0.485086 | 0.464668 | 0.525709 | 0.103537 | 0.891171 | 8 | training | null | 4 | training |
0.466865 | 0.506008 | 0.489374 | 0.549762 | 0.536901 | 0.496441 | 0.530869 | 0.500165 | 0.362724 | 0.090426 | 0.789275 | 0.876444 | 0.513405 | 0.141012 | 0.120068 | 0.077605 | 0.061402 | 0.138323 | 0.085886 | 0.324488 | 0.062665 | 0.975347 | 0.71433 | 0.324936 | 0.575186 | 0.440261 | 0.53399 | 0.112971 | 0.177218 | 0.94392 | 0.421975 | 0.267171 | 0.371003 | 0.331391 | 0.277399 | 0.616279 | 0.253358 | 0.44113 | 0.715203 | 0.710141 | 0.112405 | 0.892227 | 8 | training | null | 4 | training |
0.440372 | 0.512162 | 0.497093 | 0.541554 | 0.534936 | 0.493173 | 0.608788 | 0.455926 | 0.327312 | 0.14794 | 0.865941 | 0.836263 | 0.40993 | 0.112207 | 0.088581 | 0.077525 | 0.059235 | 0.089756 | 0.135024 | 0.364495 | 0.066581 | 0.975313 | 0.713069 | 0.322109 | 0.421209 | 0.3846 | 0.396884 | 0.212564 | 0.111938 | 0.892326 | 0.374438 | 0.324484 | 0.224742 | 0.379463 | 0.375464 | 0.444444 | 0.762515 | 0.524333 | 0.203426 | 0.629452 | 0.109449 | 0.893635 | 8 | training | null | 4 | training |
0.474154 | 0.500866 | 0.489625 | 0.535133 | 0.531624 | 0.489996 | 0.375957 | 0.34863 | 0.536474 | 0.192156 | 0.930038 | 0.781517 | 0.548617 | 0.149717 | 0.10442 | 0.059853 | 0.043103 | 0.060247 | 0.035482 | 0.357693 | 0.086584 | 0.976052 | 0.711494 | 0.319047 | 0.546554 | 0.332195 | 0.47705 | 0.300265 | 0.061594 | 0.829235 | 0.348716 | 0.278288 | 0.433177 | 0.406056 | 0.540775 | 0.267011 | 0.467643 | 0.400314 | 0.528908 | 0.583344 | 0.105015 | 0.897507 | 8 | training | null | 4 | training |
0.476555 | 0.510012 | 0.476979 | 0.531922 | 0.526885 | 0.488224 | 0.384512 | 0.280621 | 0.535812 | 0.271279 | 0.971093 | 0.700653 | 0.413338 | 0.169676 | 0.151556 | 0.04506 | 0.033312 | 0.037117 | 0.108519 | 0.341678 | 0.076944 | 0.976422 | 0.710256 | 0.314901 | 0.301166 | 0.24278 | 0.141029 | 0.362325 | 0.03504 | 0.751845 | 0.403742 | 0.419595 | 0.223213 | 0.457197 | 0.675826 | 0.126184 | 0.59707 | 0.503925 | 0.38758 | 0.629452 | 0.116838 | 0.892227 | 8 | training | null | 4 | training |
0.450596 | 0.50621 | 0.495791 | 0.529076 | 0.521355 | 0.484223 | 0.439309 | 0.236382 | 0.697978 | 0.341093 | 0.987432 | 0.652436 | 0.427195 | 0.151911 | 0.104802 | 0.030506 | 0.021273 | 0.016368 | 0.10837 | 0.393742 | 0.108153 | 0.975783 | 0.70832 | 0.311603 | 0.261718 | 0.346998 | 0.444459 | 0.428472 | 0.042232 | 0.672771 | 0.495235 | 0.406749 | 0.271627 | 0.473562 | 0.90558 | 0.051249 | 0.873626 | 0.510204 | 0.381156 | 0.502655 | 0.106493 | 0.876739 | 8 | training | null | 4 | training |
0.466709 | 0.507005 | 0.485954 | 0.535348 | 0.518629 | 0.490454 | 0.339194 | 0.20898 | 0.710223 | 0.457783 | 0.751152 | 0.570568 | 0.379263 | 0.157573 | 0.114789 | 0.038902 | 0.027453 | 0.045416 | 0.079706 | 0.384096 | 0.106406 | 0.965774 | 0.698417 | 0.330779 | 0.151007 | 0.327161 | 0.471056 | 0.477154 | 0.27016 | 0.551918 | 0.660313 | 0.364752 | 0.369474 | 0.445946 | 0.753158 | 0.22696 | 0.343712 | 0.44113 | 0.477516 | 0.629452 | 0.303055 | 0.702144 | 8 | training | null | 4 | training |
0.468176 | 0.503468 | 0.4903 | 0.541405 | 0.519263 | 0.499145 | 0.265669 | 0.23143 | 0.717173 | 0.502331 | 0.510264 | 0.507785 | 0.41561 | 0.156936 | 0.126557 | 0.053696 | 0.049203 | 0.088527 | 0.094969 | 0.388486 | 0.106346 | 0.954758 | 0.689684 | 0.352357 | 0.272534 | 0.325089 | 0.45832 | 0.498336 | 0.484811 | 0.494716 | 0.667151 | 0.400326 | 0.389859 | 0.480722 | 0.514998 | 0.481051 | 0.442002 | 0.411303 | 0.531049 | 0.664033 | 0.495184 | 0.506077 | 8 | training | null | 4 | training |
0.468843 | 0.502034 | 0.485263 | 0.541504 | 0.519342 | 0.499603 | 0.342894 | 0.223836 | 0.715519 | 0.501998 | 0.502304 | 0.506781 | 0.431738 | 0.134076 | 0.113453 | 0.055055 | 0.05153 | 0.091063 | 0.098096 | 0.375872 | 0.100863 | 0.954287 | 0.689504 | 0.352923 | 0.280806 | 0.370388 | 0.315595 | 0.500566 | 0.492003 | 0.494156 | 0.511515 | 0.404773 | 0.34858 | 0.492995 | 0.493704 | 0.5 | 0.542125 | 0.422292 | 0.531049 | 0.640979 | 0.49814 | 0.498685 | 8 | training | null | 4 | training |
0.468087 | 0.502907 | 0.486707 | 0.541603 | 0.519184 | 0.499633 | 0.326015 | 0.23341 | 0.721476 | 0.502996 | 0.508169 | 0.500753 | 0.431852 | 0.140304 | 0.116379 | 0.054576 | 0.050808 | 0.091524 | 0.096607 | 0.379768 | 0.103514 | 0.954758 | 0.689617 | 0.352499 | 0.2772 | 0.36121 | 0.353805 | 0.503167 | 0.494769 | 0.494436 | 0.534958 | 0.390691 | 0.360046 | 0.488904 | 0.496506 | 0.502584 | 0.514652 | 0.437991 | 0.509636 | 0.629452 | 0.496662 | 0.502205 | 8 | training | null | 4 | training |
0.46842 | 0.502876 | 0.486205 | 0.54157 | 0.519263 | 0.499649 | 0.332951 | 0.23176 | 0.718828 | 0.502331 | 0.504399 | 0.502762 | 0.434692 | 0.139172 | 0.114979 | 0.054576 | 0.051209 | 0.09137 | 0.097426 | 0.377913 | 0.10261 | 0.954556 | 0.689527 | 0.352828 | 0.279958 | 0.36269 | 0.337697 | 0.502052 | 0.494769 | 0.494716 | 0.525516 | 0.390197 | 0.352912 | 0.49095 | 0.492023 | 0.502584 | 0.526252 | 0.428571 | 0.520343 | 0.640979 | 0.49814 | 0.500445 | 8 | training | null | 4 | training |
0.468309 | 0.502798 | 0.486267 | 0.541587 | 0.519279 | 0.499649 | 0.333183 | 0.229779 | 0.720152 | 0.502331 | 0.504818 | 0.503265 | 0.433442 | 0.138676 | 0.115298 | 0.054576 | 0.051209 | 0.091524 | 0.097202 | 0.378407 | 0.10267 | 0.954523 | 0.689504 | 0.352828 | 0.276776 | 0.362986 | 0.342192 | 0.502052 | 0.494769 | 0.494716 | 0.527469 | 0.390197 | 0.355205 | 0.489927 | 0.495945 | 0.503015 | 0.52381 | 0.430141 | 0.535332 | 0.617925 | 0.496662 | 0.499389 | 8 | training | null | 4 | training |
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