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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0.454919 | 0.509173 | 0.499564 | 0.541601 | 0.519354 | 0.499605 | 0.431669 | 0.655169 | 0.112643 | 0.503485 | 0.503707 | 0.504032 | 0.444945 | 0.13227 | 0.108277 | 0.054891 | 0.051332 | 0.09185 | 0.105712 | 0.32819 | 0.027455 | 0.954416 | 0.689504 | 0.352817 | 0.654066 | 0.598654 | 0.676374 | 0.500829 | 0.491711 | 0.494666 | 0.536988 | 0.356655 | 0.37023 | 0.491007 | 0.493408 | 0.50286 | 0.525463 | 0.433475 | 0.527897 | 0.640979 | 0.496662 | 0.499472 | 6 | training | null | 2 | training |
0.454212 | 0.508265 | 0.498506 | 0.541598 | 0.519342 | 0.499631 | 0.444113 | 0.665192 | 0.114866 | 0.503381 | 0.502817 | 0.503265 | 0.437182 | 0.142597 | 0.109579 | 0.054841 | 0.051246 | 0.091845 | 0.105061 | 0.326762 | 0.027767 | 0.954427 | 0.689515 | 0.352781 | 0.665972 | 0.588235 | 0.667459 | 0.502023 | 0.493576 | 0.493982 | 0.542037 | 0.354318 | 0.350369 | 0.489295 | 0.494264 | 0.500363 | 0.530518 | 0.435592 | 0.520679 | 0.640979 | 0.496662 | 0.500065 | 6 | training | null | 2 | training |
0.456406 | 0.509838 | 0.499414 | 0.541556 | 0.51932 | 0.499593 | 0.44372 | 0.652223 | 0.113375 | 0.502435 | 0.504112 | 0.504642 | 0.451782 | 0.14823 | 0.116555 | 0.054605 | 0.051399 | 0.09176 | 0.10506 | 0.327037 | 0.02659 | 0.954567 | 0.689511 | 0.352684 | 0.651418 | 0.583215 | 0.669812 | 0.502679 | 0.49439 | 0.49386 | 0.536052 | 0.354948 | 0.346103 | 0.492352 | 0.495416 | 0.502178 | 0.533543 | 0.438343 | 0.527801 | 0.640979 | 0.496662 | 0.499721 | 6 | training | null | 2 | training |
0.455644 | 0.509295 | 0.499239 | 0.54158 | 0.519267 | 0.499595 | 0.433586 | 0.64867 | 0.116168 | 0.502331 | 0.503599 | 0.502074 | 0.445423 | 0.152795 | 0.11538 | 0.054656 | 0.050792 | 0.091663 | 0.10525 | 0.327102 | 0.026045 | 0.954526 | 0.689504 | 0.352726 | 0.649269 | 0.595311 | 0.681838 | 0.501443 | 0.49472 | 0.49385 | 0.537541 | 0.360491 | 0.345273 | 0.490203 | 0.497475 | 0.50376 | 0.521299 | 0.431411 | 0.525395 | 0.65147 | 0.495317 | 0.50003 | 6 | training | null | 2 | training |
0.454421 | 0.509169 | 0.499004 | 0.541537 | 0.51916 | 0.49964 | 0.441894 | 0.667758 | 0.116953 | 0.500134 | 0.50703 | 0.502113 | 0.443449 | 0.146947 | 0.109918 | 0.054921 | 0.051157 | 0.091555 | 0.106323 | 0.325617 | 0.02612 | 0.954897 | 0.689541 | 0.352788 | 0.676526 | 0.590643 | 0.667939 | 0.503334 | 0.498157 | 0.495803 | 0.537841 | 0.361912 | 0.329057 | 0.488054 | 0.493162 | 0.501795 | 0.526416 | 0.433493 | 0.52874 | 0.642533 | 0.495384 | 0.499484 | 6 | training | null | 2 | training |
0.445786 | 0.508961 | 0.497911 | 0.540394 | 0.515961 | 0.500269 | 0.488191 | 0.731417 | 0.123393 | 0.437033 | 0.584143 | 0.464026 | 0.452815 | 0.148795 | 0.079618 | 0.054547 | 0.051245 | 0.091533 | 0.108399 | 0.315065 | 0.023329 | 0.964456 | 0.69081 | 0.352473 | 0.766688 | 0.559196 | 0.611151 | 0.552959 | 0.598297 | 0.548201 | 0.544821 | 0.38134 | 0.206124 | 0.487123 | 0.500025 | 0.478951 | 0.524838 | 0.416224 | 0.530087 | 0.644217 | 0.495068 | 0.500599 | 6 | training | null | 2 | training |
0.450971 | 0.507488 | 0.501386 | 0.538383 | 0.510832 | 0.501705 | 0.458632 | 0.718712 | 0.151427 | 0.339636 | 0.688349 | 0.408168 | 0.456381 | 0.140037 | 0.100862 | 0.049844 | 0.0504 | 0.090152 | 0.105678 | 0.325237 | 0.031145 | 0.977354 | 0.69301 | 0.351866 | 0.719018 | 0.557992 | 0.668453 | 0.635483 | 0.757526 | 0.623591 | 0.502094 | 0.382556 | 0.260659 | 0.52753 | 0.539761 | 0.442383 | 0.515866 | 0.454589 | 0.530111 | 0.582308 | 0.48532 | 0.507671 | 6 | training | null | 2 | training |
0.46002 | 0.509758 | 0.50334 | 0.54094 | 0.517942 | 0.499923 | 0.405724 | 0.642575 | 0.196072 | 0.475261 | 0.534685 | 0.49388 | 0.448258 | 0.143754 | 0.137602 | 0.056441 | 0.052904 | 0.091376 | 0.10257 | 0.33825 | 0.043693 | 0.958412 | 0.690186 | 0.352648 | 0.599271 | 0.558554 | 0.784635 | 0.5248 | 0.531991 | 0.518302 | 0.510469 | 0.338188 | 0.447011 | 0.486744 | 0.483711 | 0.485919 | 0.520229 | 0.455965 | 0.513101 | 0.61404 | 0.497144 | 0.502949 | 6 | training | null | 2 | training |
0.452563 | 0.510119 | 0.502593 | 0.541547 | 0.519374 | 0.49953 | 0.431952 | 0.691035 | 0.20692 | 0.504374 | 0.503481 | 0.503806 | 0.442731 | 0.148497 | 0.107974 | 0.055087 | 0.051254 | 0.091435 | 0.105922 | 0.329424 | 0.04236 | 0.954131 | 0.689379 | 0.352808 | 0.679684 | 0.524855 | 0.750327 | 0.501752 | 0.49099 | 0.49276 | 0.536751 | 0.36302 | 0.313342 | 0.48587 | 0.495221 | 0.501195 | 0.525305 | 0.434692 | 0.52477 | 0.607564 | 0.497692 | 0.498325 | 6 | training | null | 2 | training |
0.454882 | 0.502549 | 0.504022 | 0.544427 | 0.521429 | 0.499338 | 0.460625 | 0.737782 | 0.204867 | 0.43215 | 0.528678 | 0.586962 | 0.4146 | 0.121213 | 0.119721 | 0.056858 | 0.051449 | 0.106478 | 0.112475 | 0.32762 | 0.043339 | 0.957643 | 0.693497 | 0.349708 | 0.715107 | 0.611565 | 0.78807 | 0.421107 | 0.460494 | 0.569017 | 0.580578 | 0.4692 | 0.394672 | 0.46307 | 0.47256 | 0.569419 | 0.535999 | 0.412696 | 0.521161 | 0.626085 | 0.437861 | 0.556675 | 6 | training | null | 2 | training |
0.456193 | 0.497675 | 0.496658 | 0.554646 | 0.531569 | 0.498445 | 0.591624 | 0.762676 | 0.230796 | 0.175694 | 0.640708 | 0.885118 | 0.415006 | 0.100768 | 0.13488 | 0.073542 | 0.060989 | 0.157126 | 0.105287 | 0.314793 | 0.04717 | 0.969641 | 0.708794 | 0.337502 | 0.675113 | 0.66566 | 0.675772 | 0.113698 | 0.300631 | 0.85133 | 0.533323 | 0.506631 | 0.443378 | 0.358237 | 0.299637 | 0.786415 | 0.519557 | 0.426349 | 0.538243 | 0.622329 | 0.214513 | 0.792578 | 6 | training | null | 2 | training |
0.464504 | 0.512379 | 0.486195 | 0.551754 | 0.536369 | 0.49674 | 0.472165 | 0.514803 | 0.335965 | 0.080348 | 0.765222 | 0.925733 | 0.493796 | 0.168702 | 0.157998 | 0.080948 | 0.066365 | 0.145154 | 0.111158 | 0.319665 | 0.047168 | 0.974399 | 0.714874 | 0.326008 | 0.489499 | 0.502749 | 0.484542 | 0.08039 | 0.197364 | 0.940772 | 0.392437 | 0.329519 | 0.292877 | 0.293777 | 0.265927 | 0.68699 | 0.556948 | 0.556735 | 0.51209 | 0.557959 | 0.099917 | 0.897096 | 6 | training | null | 2 | training |
0.443712 | 0.506871 | 0.496326 | 0.54302 | 0.535556 | 0.494209 | 0.592627 | 0.453823 | 0.359515 | 0.140914 | 0.857086 | 0.827211 | 0.530037 | 0.091061 | 0.059017 | 0.072292 | 0.054669 | 0.100087 | 0.089181 | 0.336065 | 0.071066 | 0.975435 | 0.713136 | 0.322992 | 0.477134 | 0.368628 | 0.431567 | 0.199833 | 0.102303 | 0.905001 | 0.405059 | 0.326474 | 0.227411 | 0.375843 | 0.369382 | 0.470236 | 0.313955 | 0.403806 | 0.647691 | 0.621681 | 0.11101 | 0.885689 | 6 | training | null | 2 | training |
0.463222 | 0.510965 | 0.492916 | 0.53471 | 0.530874 | 0.489452 | 0.37989 | 0.369989 | 0.433228 | 0.207729 | 0.929816 | 0.761043 | 0.416374 | 0.139561 | 0.116963 | 0.05958 | 0.049212 | 0.058193 | 0.116694 | 0.334196 | 0.074823 | 0.975184 | 0.711735 | 0.315506 | 0.36877 | 0.200468 | 0.257089 | 0.310299 | 0.056541 | 0.832471 | 0.379172 | 0.299833 | 0.420488 | 0.426398 | 0.538118 | 0.25894 | 0.431665 | 0.531847 | 0.399995 | 0.591245 | 0.109449 | 0.884605 | 6 | training | null | 2 | training |
0.466978 | 0.50167 | 0.483169 | 0.530731 | 0.525012 | 0.486514 | 0.596911 | 0.220628 | 0.613288 | 0.289575 | 0.975899 | 0.690975 | 0.455323 | 0.144532 | 0.106604 | 0.039892 | 0.02885 | 0.027675 | 0.087147 | 0.375616 | 0.091602 | 0.976034 | 0.709602 | 0.312329 | 0.318005 | 0.465953 | 0.418641 | 0.388188 | 0.034132 | 0.727869 | 0.541752 | 0.368499 | 0.241505 | 0.45237 | 0.774232 | 0.096778 | 0.5557 | 0.408728 | 0.58605 | 0.585028 | 0.104932 | 0.889447 | 6 | training | null | 2 | training |
0.466532 | 0.504802 | 0.489148 | 0.533133 | 0.519876 | 0.488396 | 0.405511 | 0.185521 | 0.678344 | 0.405297 | 0.859628 | 0.615895 | 0.465691 | 0.1562 | 0.106024 | 0.034783 | 0.023273 | 0.032652 | 0.090677 | 0.387907 | 0.105324 | 0.970291 | 0.702646 | 0.322917 | 0.210361 | 0.3012 | 0.401127 | 0.453099 | 0.165924 | 0.601584 | 0.574549 | 0.357482 | 0.347312 | 0.457795 | 0.804001 | 0.153471 | 0.4879 | 0.47124 | 0.560258 | 0.62738 | 0.215095 | 0.773961 | 6 | training | null | 2 | training |
0.465731 | 0.503228 | 0.49155 | 0.540174 | 0.519109 | 0.497415 | 0.266289 | 0.218966 | 0.722584 | 0.490706 | 0.565884 | 0.523654 | 0.411415 | 0.156275 | 0.122976 | 0.05107 | 0.045484 | 0.080208 | 0.091177 | 0.391302 | 0.107999 | 0.957022 | 0.691449 | 0.34762 | 0.255594 | 0.319603 | 0.462824 | 0.494198 | 0.43931 | 0.507914 | 0.658769 | 0.395543 | 0.389046 | 0.476389 | 0.558405 | 0.437655 | 0.449013 | 0.43949 | 0.508168 | 0.640979 | 0.454666 | 0.545098 | 6 | training | null | 2 | training |
0.468534 | 0.502136 | 0.4854 | 0.541513 | 0.519364 | 0.499591 | 0.342382 | 0.224923 | 0.714953 | 0.501722 | 0.503401 | 0.506024 | 0.431366 | 0.134108 | 0.11349 | 0.054859 | 0.051494 | 0.091157 | 0.098074 | 0.37618 | 0.101176 | 0.954252 | 0.689427 | 0.352985 | 0.281416 | 0.369889 | 0.320945 | 0.500403 | 0.491667 | 0.49344 | 0.515492 | 0.40276 | 0.352038 | 0.491858 | 0.495542 | 0.500169 | 0.540074 | 0.411673 | 0.524746 | 0.638389 | 0.497891 | 0.498531 | 6 | training | null | 2 | training |
0.468267 | 0.502815 | 0.486494 | 0.541635 | 0.519217 | 0.499649 | 0.328158 | 0.231533 | 0.721394 | 0.50257 | 0.507044 | 0.502463 | 0.431915 | 0.140031 | 0.115948 | 0.054413 | 0.050956 | 0.091469 | 0.096667 | 0.379012 | 0.103089 | 0.954716 | 0.689601 | 0.352544 | 0.27771 | 0.362171 | 0.350391 | 0.503388 | 0.495478 | 0.495321 | 0.53479 | 0.390258 | 0.357484 | 0.490214 | 0.497714 | 0.502894 | 0.518274 | 0.437655 | 0.526767 | 0.617537 | 0.494537 | 0.501556 | 6 | training | null | 2 | training |
0.468375 | 0.502844 | 0.486182 | 0.541579 | 0.519271 | 0.499649 | 0.333177 | 0.230443 | 0.720494 | 0.502331 | 0.504389 | 0.503761 | 0.434117 | 0.138856 | 0.115202 | 0.054815 | 0.051169 | 0.091602 | 0.097428 | 0.378345 | 0.102461 | 0.954574 | 0.689516 | 0.352781 | 0.277615 | 0.362677 | 0.341262 | 0.502052 | 0.495316 | 0.494433 | 0.526013 | 0.39093 | 0.35483 | 0.490433 | 0.496222 | 0.503019 | 0.523803 | 0.425485 | 0.527849 | 0.658075 | 0.496662 | 0.500441 | 6 | training | null | 2 | training |
0.468277 | 0.502818 | 0.486297 | 0.541619 | 0.51929 | 0.499649 | 0.331707 | 0.230046 | 0.721234 | 0.502331 | 0.504173 | 0.503998 | 0.433805 | 0.138998 | 0.115187 | 0.054699 | 0.051209 | 0.091565 | 0.09716 | 0.378391 | 0.102874 | 0.95455 | 0.689527 | 0.352678 | 0.278015 | 0.361938 | 0.342365 | 0.502052 | 0.494365 | 0.494565 | 0.527531 | 0.390558 | 0.35546 | 0.490674 | 0.495945 | 0.502816 | 0.524537 | 0.433581 | 0.52578 | 0.649398 | 0.495583 | 0.499836 | 6 | training | null | 2 | training |
0.468392 | 0.502813 | 0.486194 | 0.541637 | 0.519279 | 0.499634 | 0.332216 | 0.229148 | 0.719881 | 0.502013 | 0.503999 | 0.50283 | 0.433788 | 0.138486 | 0.115049 | 0.054579 | 0.051209 | 0.091597 | 0.097263 | 0.378584 | 0.102454 | 0.954523 | 0.689505 | 0.35282 | 0.277663 | 0.362381 | 0.341493 | 0.501697 | 0.494216 | 0.494984 | 0.525618 | 0.388568 | 0.354973 | 0.49095 | 0.495945 | 0.502995 | 0.523864 | 0.428854 | 0.520535 | 0.641497 | 0.496596 | 0.499069 | 6 | training | null | 2 | training |
0.468394 | 0.502847 | 0.486239 | 0.541587 | 0.519263 | 0.499636 | 0.332744 | 0.23005 | 0.721264 | 0.502391 | 0.504474 | 0.503265 | 0.434092 | 0.139088 | 0.115182 | 0.054604 | 0.051304 | 0.091524 | 0.097487 | 0.378401 | 0.10266 | 0.954523 | 0.689523 | 0.352828 | 0.278011 | 0.363495 | 0.342125 | 0.502357 | 0.494769 | 0.494285 | 0.527411 | 0.390938 | 0.354859 | 0.493467 | 0.495026 | 0.501955 | 0.522589 | 0.428289 | 0.519356 | 0.640979 | 0.496812 | 0.499389 | 6 | training | null | 2 | training |
0.468358 | 0.502835 | 0.486252 | 0.541594 | 0.519263 | 0.499649 | 0.331702 | 0.230046 | 0.721137 | 0.502529 | 0.504648 | 0.503265 | 0.434235 | 0.13883 | 0.115208 | 0.054703 | 0.05124 | 0.091524 | 0.097366 | 0.378529 | 0.102488 | 0.954536 | 0.689495 | 0.352828 | 0.276979 | 0.363868 | 0.341514 | 0.502353 | 0.494769 | 0.493822 | 0.526617 | 0.391238 | 0.355059 | 0.49095 | 0.496172 | 0.503015 | 0.523082 | 0.430177 | 0.524625 | 0.636317 | 0.493142 | 0.499389 | 6 | training | null | 2 | training |
0.468387 | 0.502847 | 0.486212 | 0.541603 | 0.519283 | 0.499649 | 0.331855 | 0.231062 | 0.720777 | 0.50254 | 0.504399 | 0.503265 | 0.433539 | 0.138713 | 0.11533 | 0.054656 | 0.051149 | 0.091524 | 0.097464 | 0.378345 | 0.102499 | 0.954577 | 0.68951 | 0.352828 | 0.27705 | 0.363545 | 0.341304 | 0.502562 | 0.494769 | 0.494156 | 0.526251 | 0.391679 | 0.354847 | 0.491593 | 0.4958 | 0.503015 | 0.524578 | 0.429912 | 0.52732 | 0.636705 | 0.496662 | 0.499389 | 6 | training | null | 2 | training |
0.46842 | 0.502796 | 0.486242 | 0.541589 | 0.519267 | 0.499649 | 0.332619 | 0.230302 | 0.72171 | 0.502379 | 0.504757 | 0.503265 | 0.43362 | 0.139301 | 0.115262 | 0.054656 | 0.051209 | 0.091524 | 0.097384 | 0.378451 | 0.102662 | 0.954532 | 0.689508 | 0.352828 | 0.277837 | 0.36261 | 0.340803 | 0.501789 | 0.494297 | 0.494156 | 0.526492 | 0.391047 | 0.354621 | 0.492846 | 0.497777 | 0.503015 | 0.524509 | 0.432364 | 0.519765 | 0.631136 | 0.494138 | 0.499389 | 6 | training | null | 2 | training |
0.468417 | 0.50284 | 0.486206 | 0.541586 | 0.51928 | 0.499649 | 0.333232 | 0.230873 | 0.721755 | 0.502331 | 0.504366 | 0.503265 | 0.433451 | 0.139149 | 0.115581 | 0.054656 | 0.051209 | 0.091524 | 0.097328 | 0.378345 | 0.102666 | 0.954492 | 0.689504 | 0.352828 | 0.278228 | 0.36117 | 0.342221 | 0.502795 | 0.495279 | 0.494156 | 0.526244 | 0.391374 | 0.354755 | 0.49103 | 0.495385 | 0.502719 | 0.526382 | 0.431217 | 0.525131 | 0.640979 | 0.49643 | 0.499389 | 6 | training | null | 2 | training |
0.468383 | 0.502792 | 0.486244 | 0.541575 | 0.519285 | 0.499649 | 0.331312 | 0.231689 | 0.721546 | 0.502331 | 0.504234 | 0.503265 | 0.433659 | 0.138932 | 0.115209 | 0.05468 | 0.051233 | 0.091524 | 0.097212 | 0.378402 | 0.102628 | 0.954523 | 0.689504 | 0.352828 | 0.277772 | 0.363901 | 0.341657 | 0.50257 | 0.494769 | 0.494156 | 0.527539 | 0.390391 | 0.355228 | 0.491042 | 0.495555 | 0.503915 | 0.520942 | 0.424003 | 0.527152 | 0.640979 | 0.494603 | 0.499389 | 6 | training | null | 2 | training |
0.468328 | 0.502813 | 0.486299 | 0.541596 | 0.519271 | 0.499649 | 0.331429 | 0.229898 | 0.72177 | 0.502506 | 0.504597 | 0.503265 | 0.433777 | 0.139068 | 0.115398 | 0.054651 | 0.051247 | 0.091524 | 0.097417 | 0.378596 | 0.10267 | 0.954558 | 0.689504 | 0.352828 | 0.278073 | 0.362813 | 0.340361 | 0.502052 | 0.494477 | 0.494156 | 0.52793 | 0.390486 | 0.354964 | 0.489444 | 0.496241 | 0.503015 | 0.521045 | 0.424038 | 0.522725 | 0.640979 | 0.494321 | 0.499389 | 6 | training | null | 2 | training |
0.468315 | 0.502872 | 0.486251 | 0.541603 | 0.519267 | 0.499649 | 0.33145 | 0.23061 | 0.720896 | 0.502413 | 0.503453 | 0.503265 | 0.433755 | 0.139154 | 0.115105 | 0.054636 | 0.051209 | 0.091524 | 0.097221 | 0.378515 | 0.102534 | 0.954539 | 0.689521 | 0.352828 | 0.277036 | 0.36284 | 0.341632 | 0.501493 | 0.4938 | 0.494156 | 0.525263 | 0.390627 | 0.355205 | 0.490697 | 0.496084 | 0.503015 | 0.522136 | 0.430547 | 0.523543 | 0.632302 | 0.493341 | 0.499389 | 6 | training | null | 2 | training |
0.468353 | 0.502861 | 0.486221 | 0.541587 | 0.519278 | 0.499649 | 0.332016 | 0.230777 | 0.71952 | 0.502656 | 0.504371 | 0.503265 | 0.433783 | 0.139033 | 0.11529 | 0.054577 | 0.051131 | 0.091524 | 0.097057 | 0.378167 | 0.102431 | 0.954523 | 0.689483 | 0.352828 | 0.277601 | 0.362697 | 0.343282 | 0.501672 | 0.494744 | 0.494156 | 0.526448 | 0.390203 | 0.35396 | 0.49095 | 0.493754 | 0.503015 | 0.521992 | 0.436315 | 0.516204 | 0.64072 | 0.496596 | 0.499389 | 6 | training | null | 2 | training |
0.468345 | 0.502723 | 0.486208 | 0.5416 | 0.519269 | 0.499649 | 0.332395 | 0.23143 | 0.720881 | 0.502861 | 0.504484 | 0.503265 | 0.434101 | 0.138776 | 0.115234 | 0.054528 | 0.051209 | 0.091524 | 0.097575 | 0.378654 | 0.102562 | 0.954529 | 0.689491 | 0.352828 | 0.277922 | 0.363106 | 0.341893 | 0.50153 | 0.494769 | 0.494156 | 0.524868 | 0.391385 | 0.355715 | 0.49095 | 0.497286 | 0.503015 | 0.521121 | 0.428554 | 0.525058 | 0.645512 | 0.497841 | 0.499389 | 6 | training | null | 2 | training |
0.4683 | 0.502798 | 0.486249 | 0.541594 | 0.519281 | 0.499649 | 0.332125 | 0.231007 | 0.721004 | 0.502331 | 0.504997 | 0.503265 | 0.433816 | 0.138858 | 0.11518 | 0.054656 | 0.051209 | 0.091524 | 0.097555 | 0.378354 | 0.102559 | 0.954556 | 0.689508 | 0.352828 | 0.277718 | 0.364337 | 0.341872 | 0.501413 | 0.495005 | 0.494156 | 0.526167 | 0.391541 | 0.354844 | 0.490513 | 0.496424 | 0.503015 | 0.52145 | 0.426314 | 0.526767 | 0.627768 | 0.497293 | 0.499389 | 6 | training | null | 2 | training |
0.468359 | 0.502818 | 0.486205 | 0.541582 | 0.519263 | 0.499649 | 0.331956 | 0.229794 | 0.72103 | 0.502548 | 0.504964 | 0.503265 | 0.433482 | 0.139002 | 0.115065 | 0.054551 | 0.051209 | 0.091524 | 0.097273 | 0.378485 | 0.10249 | 0.954578 | 0.689496 | 0.352828 | 0.276988 | 0.364004 | 0.341687 | 0.502052 | 0.494962 | 0.494156 | 0.525955 | 0.391496 | 0.354839 | 0.490594 | 0.497066 | 0.503015 | 0.522005 | 0.428642 | 0.525371 | 0.640979 | 0.496214 | 0.499389 | 6 | training | null | 2 | training |
0.468301 | 0.502788 | 0.486246 | 0.541585 | 0.519263 | 0.499649 | 0.331187 | 0.229738 | 0.719985 | 0.502372 | 0.504818 | 0.503265 | 0.43394 | 0.138853 | 0.114932 | 0.054706 | 0.051139 | 0.091524 | 0.097221 | 0.378268 | 0.102595 | 0.954531 | 0.689485 | 0.352828 | 0.278475 | 0.361725 | 0.341489 | 0.502378 | 0.494284 | 0.494156 | 0.527553 | 0.390627 | 0.354343 | 0.491846 | 0.496084 | 0.503015 | 0.520297 | 0.422874 | 0.522749 | 0.630877 | 0.49648 | 0.499389 | 6 | training | null | 2 | training |
0.468309 | 0.502843 | 0.486349 | 0.541602 | 0.519263 | 0.499649 | 0.331588 | 0.230506 | 0.721639 | 0.502663 | 0.504484 | 0.503265 | 0.433727 | 0.139101 | 0.114992 | 0.054584 | 0.051209 | 0.091524 | 0.097053 | 0.378457 | 0.102683 | 0.954523 | 0.689545 | 0.352828 | 0.277455 | 0.362926 | 0.340879 | 0.50209 | 0.494769 | 0.494156 | 0.527436 | 0.390125 | 0.355231 | 0.492789 | 0.492419 | 0.503015 | 0.523199 | 0.423086 | 0.522267 | 0.639813 | 0.496513 | 0.499389 | 6 | training | null | 2 | training |
0.46836 | 0.502849 | 0.486246 | 0.541582 | 0.519273 | 0.499649 | 0.33172 | 0.230669 | 0.720907 | 0.502555 | 0.504827 | 0.503265 | 0.434237 | 0.139055 | 0.115127 | 0.054682 | 0.051235 | 0.091524 | 0.097248 | 0.378426 | 0.102712 | 0.954523 | 0.689497 | 0.352828 | 0.277422 | 0.362683 | 0.339928 | 0.502303 | 0.494769 | 0.494156 | 0.52725 | 0.391035 | 0.355045 | 0.49095 | 0.496676 | 0.503015 | 0.522801 | 0.428095 | 0.516854 | 0.636964 | 0.496147 | 0.499389 | 6 | training | null | 2 | training |
0.468379 | 0.502831 | 0.48625 | 0.541607 | 0.519286 | 0.499649 | 0.332328 | 0.229779 | 0.721922 | 0.502331 | 0.504441 | 0.503265 | 0.433987 | 0.139154 | 0.11517 | 0.054647 | 0.051289 | 0.091524 | 0.097362 | 0.378661 | 0.102351 | 0.954541 | 0.689494 | 0.352828 | 0.276564 | 0.363445 | 0.341649 | 0.502461 | 0.494769 | 0.494156 | 0.527469 | 0.389975 | 0.353765 | 0.49095 | 0.496644 | 0.503015 | 0.522986 | 0.429048 | 0.515531 | 0.64616 | 0.497326 | 0.499389 | 6 | training | null | 2 | training |
0.468275 | 0.502782 | 0.48626 | 0.541624 | 0.519266 | 0.499649 | 0.332772 | 0.230291 | 0.721476 | 0.502331 | 0.504493 | 0.503265 | 0.433607 | 0.139094 | 0.115121 | 0.054638 | 0.051165 | 0.091524 | 0.097359 | 0.378525 | 0.102188 | 0.95453 | 0.689504 | 0.352828 | 0.277551 | 0.36266 | 0.340365 | 0.502219 | 0.495198 | 0.494156 | 0.526964 | 0.390197 | 0.354409 | 0.49095 | 0.496254 | 0.503015 | 0.52381 | 0.432064 | 0.518682 | 0.640979 | 0.498954 | 0.499389 | 6 | training | null | 2 | training |
0.468243 | 0.50286 | 0.486252 | 0.541603 | 0.519279 | 0.499649 | 0.331795 | 0.228788 | 0.720814 | 0.502331 | 0.504399 | 0.503265 | 0.433215 | 0.139101 | 0.115425 | 0.054656 | 0.051209 | 0.091524 | 0.097724 | 0.378655 | 0.10267 | 0.954523 | 0.689504 | 0.352828 | 0.2772 | 0.362986 | 0.341817 | 0.500937 | 0.494769 | 0.494156 | 0.52812 | 0.391185 | 0.354441 | 0.49095 | 0.495385 | 0.503015 | 0.525031 | 0.436421 | 0.518201 | 0.652506 | 0.495184 | 0.499389 | 6 | training | null | 2 | training |
0.468487 | 0.502891 | 0.486236 | 0.541603 | 0.519263 | 0.499649 | 0.332489 | 0.230769 | 0.721145 | 0.501998 | 0.504818 | 0.503265 | 0.433783 | 0.138959 | 0.11517 | 0.054656 | 0.051209 | 0.091524 | 0.097426 | 0.378593 | 0.10261 | 0.954556 | 0.689482 | 0.352828 | 0.2772 | 0.363578 | 0.340694 | 0.502795 | 0.494769 | 0.494156 | 0.527469 | 0.391185 | 0.354186 | 0.49095 | 0.493704 | 0.503015 | 0.52442 | 0.436421 | 0.518201 | 0.640979 | 0.501096 | 0.499389 | 7 | training | null | 3 | training |
0.468287 | 0.502798 | 0.486267 | 0.541587 | 0.519247 | 0.499649 | 0.332489 | 0.23242 | 0.720152 | 0.502331 | 0.504399 | 0.503265 | 0.433556 | 0.138959 | 0.115552 | 0.054656 | 0.051289 | 0.091524 | 0.097575 | 0.378407 | 0.102429 | 0.95459 | 0.689482 | 0.352828 | 0.276988 | 0.364763 | 0.340694 | 0.502424 | 0.493663 | 0.494156 | 0.527144 | 0.391432 | 0.35546 | 0.491973 | 0.498747 | 0.503015 | 0.52442 | 0.422292 | 0.524625 | 0.617925 | 0.495184 | 0.499389 | 7 | training | null | 3 | training |
0.468354 | 0.502876 | 0.486205 | 0.541603 | 0.519279 | 0.499649 | 0.331795 | 0.230439 | 0.721807 | 0.502331 | 0.504818 | 0.503265 | 0.433556 | 0.138464 | 0.114979 | 0.054656 | 0.05153 | 0.091524 | 0.097649 | 0.378098 | 0.102911 | 0.954523 | 0.689504 | 0.352828 | 0.2772 | 0.362394 | 0.341443 | 0.502052 | 0.494769 | 0.494156 | 0.525841 | 0.391926 | 0.354186 | 0.49095 | 0.495945 | 0.503015 | 0.523199 | 0.430141 | 0.520343 | 0.640979 | 0.49814 | 0.499389 | 7 | training | null | 3 | training |
0.468287 | 0.502751 | 0.486236 | 0.541587 | 0.519263 | 0.499649 | 0.331564 | 0.228788 | 0.720814 | 0.501998 | 0.504399 | 0.503265 | 0.433329 | 0.13903 | 0.115234 | 0.054656 | 0.051209 | 0.091524 | 0.097277 | 0.378407 | 0.103032 | 0.954523 | 0.689504 | 0.352828 | 0.277413 | 0.36269 | 0.342192 | 0.502052 | 0.494769 | 0.494156 | 0.526818 | 0.389703 | 0.355205 | 0.49095 | 0.495945 | 0.503015 | 0.520757 | 0.430141 | 0.522484 | 0.629452 | 0.496662 | 0.499389 | 7 | training | null | 3 | training |
0.468265 | 0.502844 | 0.486299 | 0.541587 | 0.519263 | 0.499649 | 0.331795 | 0.230109 | 0.720483 | 0.502331 | 0.504399 | 0.503265 | 0.434805 | 0.139172 | 0.114979 | 0.054656 | 0.051209 | 0.091524 | 0.097426 | 0.378469 | 0.10267 | 0.954455 | 0.689527 | 0.352828 | 0.2772 | 0.36269 | 0.341443 | 0.500937 | 0.494769 | 0.494156 | 0.526818 | 0.390691 | 0.353421 | 0.49095 | 0.495945 | 0.503015 | 0.521368 | 0.428571 | 0.518201 | 0.640979 | 0.496662 | 0.499389 | 7 | training | null | 3 | training |
0.468376 | 0.502813 | 0.48622 | 0.541587 | 0.519263 | 0.499649 | 0.331564 | 0.230439 | 0.720814 | 0.502331 | 0.504399 | 0.503265 | 0.432988 | 0.139101 | 0.115488 | 0.054656 | 0.051209 | 0.091524 | 0.097649 | 0.378222 | 0.102731 | 0.954556 | 0.689504 | 0.352828 | 0.277625 | 0.36417 | 0.340319 | 0.502052 | 0.494769 | 0.494156 | 0.52812 | 0.392668 | 0.354695 | 0.49095 | 0.495945 | 0.503015 | 0.522589 | 0.436421 | 0.524625 | 0.640979 | 0.496662 | 0.499389 | 7 | training | null | 3 | training |
0.468598 | 0.503141 | 0.486016 | 0.541587 | 0.519263 | 0.499649 | 0.331102 | 0.225157 | 0.722138 | 0.502331 | 0.504399 | 0.503265 | 0.430943 | 0.138535 | 0.115488 | 0.054735 | 0.051209 | 0.091601 | 0.09616 | 0.378036 | 0.102309 | 0.954523 | 0.689504 | 0.352828 | 0.272534 | 0.363578 | 0.340694 | 0.502052 | 0.494769 | 0.494716 | 0.533004 | 0.388468 | 0.358518 | 0.49095 | 0.495945 | 0.503015 | 0.521978 | 0.430141 | 0.524625 | 0.640979 | 0.496662 | 0.499389 | 7 | training | null | 3 | training |
0.468376 | 0.502985 | 0.486173 | 0.541587 | 0.519263 | 0.499649 | 0.332489 | 0.227468 | 0.720814 | 0.502331 | 0.504399 | 0.503265 | 0.432761 | 0.137827 | 0.114916 | 0.054656 | 0.051048 | 0.091601 | 0.097351 | 0.378284 | 0.102791 | 0.954523 | 0.689504 | 0.352828 | 0.274655 | 0.363874 | 0.341443 | 0.501681 | 0.494769 | 0.494436 | 0.523888 | 0.390691 | 0.356989 | 0.49095 | 0.495945 | 0.503015 | 0.521978 | 0.427002 | 0.51606 | 0.640979 | 0.496662 | 0.499389 | 7 | training | null | 3 | training |
0.468509 | 0.502767 | 0.486361 | 0.541587 | 0.519263 | 0.499649 | 0.331564 | 0.23209 | 0.721145 | 0.502331 | 0.504399 | 0.503265 | 0.434124 | 0.139172 | 0.115107 | 0.054656 | 0.051209 | 0.091447 | 0.097798 | 0.378407 | 0.10249 | 0.954523 | 0.689504 | 0.352828 | 0.279533 | 0.362394 | 0.342567 | 0.502052 | 0.494769 | 0.493875 | 0.526492 | 0.391432 | 0.355205 | 0.49095 | 0.495385 | 0.503015 | 0.523199 | 0.433281 | 0.518201 | 0.640979 | 0.496662 | 0.499389 | 7 | training | null | 3 | training |
0.468376 | 0.502829 | 0.486283 | 0.541587 | 0.519263 | 0.499649 | 0.329483 | 0.230109 | 0.719821 | 0.502331 | 0.504399 | 0.503265 | 0.433897 | 0.138959 | 0.115361 | 0.054656 | 0.051289 | 0.091754 | 0.096979 | 0.378531 | 0.10255 | 0.954523 | 0.689504 | 0.352828 | 0.275928 | 0.361506 | 0.344814 | 0.502052 | 0.494769 | 0.494156 | 0.5304 | 0.390938 | 0.354186 | 0.489927 | 0.493704 | 0.503445 | 0.522589 | 0.427002 | 0.518201 | 0.640979 | 0.496662 | 0.499389 | 7 | training | null | 3 | training |
0.465309 | 0.503 | 0.494363 | 0.546568 | 0.519897 | 0.507194 | 0.265669 | 0.175636 | 0.71949 | 0.5389 | 0.308756 | 0.449021 | 0.418108 | 0.139809 | 0.122358 | 0.06833 | 0.071835 | 0.130101 | 0.106881 | 0.384652 | 0.10508 | 0.94579 | 0.682505 | 0.370826 | 0.215695 | 0.344037 | 0.565457 | 0.523606 | 0.683419 | 0.452095 | 0.691571 | 0.370434 | 0.442605 | 0.533908 | 0.288606 | 0.725237 | 0.397436 | 0.323391 | 0.588865 | 0.617925 | 0.650365 | 0.34169 | 7 | training | null | 3 | training |
0.457574 | 0.510947 | 0.482612 | 0.552907 | 0.518185 | 0.514525 | 0.219888 | 0.332783 | 0.471276 | 0.625337 | 0.060327 | 0.375188 | 0.445369 | 0.15545 | 0.102321 | 0.079764 | 0.088448 | 0.164605 | 0.083578 | 0.365175 | 0.09056 | 0.934202 | 0.672399 | 0.39052 | 0.348887 | 0.534413 | 0.55347 | 0.564855 | 0.915773 | 0.346945 | 0.629707 | 0.335354 | 0.325647 | 0.533908 | 0.095276 | 0.952627 | 0.285104 | 0.365777 | 0.672377 | 0.698614 | 0.851362 | 0.147031 | 7 | training | null | 3 | training |
0.469376 | 0.508765 | 0.482988 | 0.55155 | 0.513003 | 0.511623 | 0.387055 | 0.306372 | 0.461016 | 0.727399 | 0.026812 | 0.31341 | 0.462065 | 0.128414 | 0.106837 | 0.06625 | 0.074724 | 0.15131 | 0.086705 | 0.355281 | 0.081101 | 0.93222 | 0.66873 | 0.391368 | 0.293743 | 0.309693 | 0.251537 | 0.618739 | 0.952839 | 0.246 | 0.399509 | 0.368458 | 0.299656 | 0.526748 | 0.231448 | 0.88975 | 0.464591 | 0.634223 | 0.683084 | 0.640979 | 0.88831 | 0.098455 | 7 | training | null | 3 | training |
0.477377 | 0.504403 | 0.479866 | 0.548488 | 0.507789 | 0.509729 | 0.214802 | 0.383955 | 0.347169 | 0.794221 | 0.074152 | 0.25565 | 0.523401 | 0.135279 | 0.114471 | 0.054336 | 0.057068 | 0.126873 | 0.105988 | 0.351695 | 0.058568 | 0.933732 | 0.667627 | 0.390049 | 0.321739 | 0.355584 | 0.331703 | 0.686002 | 0.937902 | 0.166366 | 0.522585 | 0.315097 | 0.31469 | 0.491973 | 0.399 | 0.775624 | 0.213675 | 0.55573 | 0.477516 | 0.548763 | 0.886832 | 0.113591 | 7 | training | null | 3 | training |
0.444595 | 0.515824 | 0.501722 | 0.542812 | 0.503875 | 0.506583 | 0.695262 | 0.403433 | 0.631126 | 0.860711 | 0.134897 | 0.195379 | 0.504319 | 0.15545 | 0.132091 | 0.037303 | 0.049363 | 0.097057 | 0.073229 | 0.341245 | 0.079354 | 0.933732 | 0.666502 | 0.384631 | 0.409332 | 0.428714 | 0.482295 | 0.772588 | 0.896963 | 0.101594 | 0.40537 | 0.343259 | 0.325137 | 0.641303 | 0.575519 | 0.635659 | 0.214896 | 0.406593 | 0.45182 | 0.9061 | 0.883876 | 0.119223 | 7 | training | null | 3 | training |
0.455596 | 0.514281 | 0.487617 | 0.536093 | 0.501989 | 0.504017 | 0.51006 | 0.579729 | 0.188643 | 0.909914 | 0.202346 | 0.138624 | 0.526013 | 0.0851 | 0.073251 | 0.027068 | 0.039572 | 0.055944 | 0.085811 | 0.335247 | 0.068569 | 0.934639 | 0.664972 | 0.382793 | 0.526193 | 0.488521 | 0.616404 | 0.859918 | 0.847726 | 0.044392 | 0.22857 | 0.243949 | 0.333037 | 0.6546 | 0.672464 | 0.436693 | 0.520147 | 0.609105 | 0.524625 | 0.744722 | 0.900133 | 0.113591 | 7 | training | null | 3 | training |
0.456374 | 0.517288 | 0.495053 | 0.52987 | 0.50126 | 0.502413 | 0.326477 | 0.506438 | 0.275683 | 0.929861 | 0.245078 | 0.049221 | 0.497958 | 0.135633 | 0.094306 | 0.028187 | 0.039492 | 0.035119 | 0.088864 | 0.339328 | 0.058568 | 0.934068 | 0.663846 | 0.378223 | 0.454507 | 0.540926 | 0.673718 | 0.937957 | 0.817852 | 0.016352 | 0.464629 | 0.281252 | 0.336604 | 0.688353 | 0.738027 | 0.315245 | 0.65873 | 0.370487 | 0.578158 | 0.629452 | 0.875008 | 0.105847 | 7 | training | null | 3 | training |
0.455863 | 0.495661 | 0.501753 | 0.528397 | 0.509342 | 0.500504 | 0.578499 | 0.896666 | 0.206183 | 0.784913 | 0.414747 | 0.177298 | 0.364269 | 0.100246 | 0.138897 | 0.041461 | 0.043986 | 0.023284 | 0.163538 | 0.327766 | 0.049832 | 0.942263 | 0.673029 | 0.36635 | 0.836903 | 0.714129 | 0.771116 | 0.85583 | 0.62699 | 0.198052 | 0.444767 | 0.600923 | 0.431393 | 0.642326 | 0.644445 | 0.180448 | 0.436508 | 0.500785 | 0.464668 | 0.56029 | 0.767121 | 0.238201 | 7 | training | null | 3 | training |
0.453529 | 0.496487 | 0.506224 | 0.539187 | 0.517615 | 0.499985 | 0.424512 | 0.834599 | 0.169778 | 0.554858 | 0.486385 | 0.433451 | 0.368472 | 0.103006 | 0.119623 | 0.052017 | 0.050968 | 0.080151 | 0.128249 | 0.323685 | 0.036818 | 0.952037 | 0.686511 | 0.354807 | 0.787275 | 0.719459 | 0.842666 | 0.567828 | 0.524643 | 0.438636 | 0.66129 | 0.589806 | 0.404128 | 0.502201 | 0.528447 | 0.429371 | 0.64652 | 0.419152 | 0.479657 | 0.640979 | 0.543955 | 0.449404 | 7 | training | null | 3 | training |
0.45513 | 0.512084 | 0.502537 | 0.542216 | 0.519247 | 0.499725 | 0.421506 | 0.665896 | 0.209824 | 0.493687 | 0.501885 | 0.499749 | 0.450934 | 0.153751 | 0.113071 | 0.054815 | 0.05161 | 0.094751 | 0.104275 | 0.333083 | 0.044108 | 0.954758 | 0.690067 | 0.352216 | 0.645599 | 0.508358 | 0.750887 | 0.490904 | 0.504174 | 0.499203 | 0.513143 | 0.33066 | 0.331253 | 0.49095 | 0.48754 | 0.521102 | 0.509158 | 0.4427 | 0.535332 | 0.652506 | 0.484839 | 0.508189 | 7 | training | null | 3 | training |
0.45573 | 0.510246 | 0.502741 | 0.541339 | 0.519215 | 0.499649 | 0.421737 | 0.670848 | 0.202874 | 0.50632 | 0.505237 | 0.500753 | 0.445709 | 0.142923 | 0.118605 | 0.054256 | 0.050968 | 0.090294 | 0.104796 | 0.331847 | 0.043325 | 0.954355 | 0.689257 | 0.352923 | 0.647296 | 0.537077 | 0.762874 | 0.506883 | 0.494216 | 0.491071 | 0.524864 | 0.356353 | 0.366671 | 0.496064 | 0.499868 | 0.497847 | 0.526252 | 0.425432 | 0.51606 | 0.640979 | 0.502574 | 0.495869 | 7 | training | null | 3 | training |
0.480333 | 0.509778 | 0.506099 | 0.544119 | 0.525063 | 0.498595 | 0.350061 | 0.566193 | 0.173088 | 0.601733 | 0.418936 | 0.550979 | 0.452297 | 0.139101 | 0.198692 | 0.052736 | 0.049443 | 0.090448 | 0.106211 | 0.349036 | 0.047904 | 0.942666 | 0.686623 | 0.354053 | 0.43351 | 0.620274 | 0.88125 | 0.404689 | 0.333228 | 0.423775 | 0.538214 | 0.295086 | 0.705569 | 0.491973 | 0.504911 | 0.559001 | 0.515263 | 0.44741 | 0.524625 | 0.652506 | 0.521787 | 0.476157 | 7 | training | null | 3 | training |
0.45004 | 0.509467 | 0.502161 | 0.54488 | 0.527599 | 0.497465 | 0.431217 | 0.671839 | 0.158195 | 0.670883 | 0.323419 | 0.593169 | 0.438326 | 0.160192 | 0.113707 | 0.056975 | 0.049443 | 0.091678 | 0.117379 | 0.327518 | 0.03477 | 0.932187 | 0.685633 | 0.354383 | 0.657476 | 0.551289 | 0.706309 | 0.3705 | 0.2342 | 0.362647 | 0.540819 | 0.350918 | 0.316729 | 0.445946 | 0.476332 | 0.568045 | 0.520757 | 0.44427 | 0.526767 | 0.652506 | 0.512919 | 0.482141 | 7 | training | null | 3 | training |
0.433127 | 0.508563 | 0.494112 | 0.542348 | 0.521672 | 0.49887 | 0.514685 | 0.793331 | 0.108221 | 0.55785 | 0.430247 | 0.53993 | 0.420266 | 0.145966 | 0.044053 | 0.056895 | 0.051209 | 0.091831 | 0.109189 | 0.303898 | 0.018021 | 0.946294 | 0.688649 | 0.353064 | 0.832238 | 0.541222 | 0.52425 | 0.471951 | 0.405147 | 0.447329 | 0.584774 | 0.406255 | 0.070582 | 0.469471 | 0.480255 | 0.51292 | 0.526252 | 0.428571 | 0.541756 | 0.629452 | 0.492228 | 0.502557 | 7 | training | null | 3 | training |
0.458375 | 0.509233 | 0.499447 | 0.541339 | 0.518692 | 0.500199 | 0.433298 | 0.644107 | 0.11484 | 0.492025 | 0.517386 | 0.492215 | 0.448435 | 0.14271 | 0.123249 | 0.050577 | 0.050647 | 0.091063 | 0.105169 | 0.329311 | 0.027178 | 0.956236 | 0.689684 | 0.352687 | 0.642206 | 0.598069 | 0.689826 | 0.512086 | 0.518005 | 0.502007 | 0.514771 | 0.354376 | 0.379667 | 0.53084 | 0.520041 | 0.504737 | 0.520147 | 0.437991 | 0.533191 | 0.640979 | 0.496662 | 0.498685 | 7 | training | null | 3 | training |
0.451863 | 0.512038 | 0.499447 | 0.541885 | 0.519421 | 0.499878 | 0.444165 | 0.65071 | 0.119805 | 0.504658 | 0.503561 | 0.504771 | 0.431511 | 0.1207 | 0.098631 | 0.055855 | 0.052092 | 0.091063 | 0.100404 | 0.326467 | 0.026516 | 0.954388 | 0.689482 | 0.352781 | 0.630965 | 0.592147 | 0.672594 | 0.499823 | 0.490343 | 0.492754 | 0.547982 | 0.343259 | 0.32208 | 0.488904 | 0.4881 | 0.504737 | 0.514652 | 0.409733 | 0.539615 | 0.629452 | 0.496662 | 0.499389 | 7 | training | null | 3 | training |
0.455552 | 0.509139 | 0.499917 | 0.541339 | 0.519294 | 0.499328 | 0.443934 | 0.658303 | 0.12179 | 0.503661 | 0.50398 | 0.503767 | 0.452524 | 0.169463 | 0.127829 | 0.054496 | 0.05153 | 0.090064 | 0.105243 | 0.328569 | 0.027781 | 0.954422 | 0.689482 | 0.352828 | 0.64878 | 0.600141 | 0.679712 | 0.502795 | 0.494216 | 0.493875 | 0.54147 | 0.35907 | 0.354186 | 0.488904 | 0.495945 | 0.501292 | 0.518315 | 0.427002 | 0.509636 | 0.652506 | 0.493706 | 0.499389 | 7 | training | null | 3 | training |
0.456508 | 0.509778 | 0.500043 | 0.541637 | 0.519247 | 0.499664 | 0.428442 | 0.658633 | 0.111531 | 0.502663 | 0.504399 | 0.503265 | 0.419358 | 0.158493 | 0.116188 | 0.055775 | 0.051209 | 0.092523 | 0.10703 | 0.327395 | 0.025732 | 0.954489 | 0.689504 | 0.352781 | 0.657052 | 0.599253 | 0.682334 | 0.502424 | 0.494769 | 0.493875 | 0.537888 | 0.357094 | 0.342719 | 0.49095 | 0.495945 | 0.506891 | 0.520147 | 0.44427 | 0.518201 | 0.652506 | 0.496662 | 0.498685 | 7 | training | null | 3 | training |
0.454818 | 0.509108 | 0.499274 | 0.541587 | 0.519199 | 0.499618 | 0.421275 | 0.664576 | 0.113517 | 0.502331 | 0.50398 | 0.502762 | 0.44764 | 0.164367 | 0.121659 | 0.054336 | 0.051289 | 0.090909 | 0.106137 | 0.326467 | 0.026636 | 0.954523 | 0.689527 | 0.352828 | 0.661718 | 0.598069 | 0.678214 | 0.501681 | 0.494769 | 0.494156 | 0.539191 | 0.352153 | 0.35495 | 0.487881 | 0.493704 | 0.507752 | 0.525031 | 0.437991 | 0.533191 | 0.67556 | 0.496662 | 0.499389 | 7 | training | null | 3 | training |
0.455908 | 0.50928 | 0.499321 | 0.541587 | 0.519247 | 0.499664 | 0.436072 | 0.661274 | 0.115833 | 0.502996 | 0.50398 | 0.50226 | 0.440939 | 0.147735 | 0.115043 | 0.054656 | 0.051129 | 0.091524 | 0.106434 | 0.327395 | 0.026998 | 0.954523 | 0.689504 | 0.352734 | 0.660233 | 0.591259 | 0.675591 | 0.502052 | 0.494769 | 0.493314 | 0.53626 | 0.355611 | 0.347561 | 0.489927 | 0.494824 | 0.503015 | 0.52381 | 0.425432 | 0.518201 | 0.629452 | 0.496662 | 0.499389 | 7 | training | null | 3 | training |
0.455863 | 0.509248 | 0.499399 | 0.54162 | 0.519263 | 0.499649 | 0.436997 | 0.660944 | 0.117488 | 0.502663 | 0.50398 | 0.50226 | 0.443438 | 0.146745 | 0.114852 | 0.054656 | 0.051209 | 0.091601 | 0.105988 | 0.327024 | 0.026817 | 0.954556 | 0.689504 | 0.352781 | 0.66193 | 0.59422 | 0.674842 | 0.502052 | 0.495322 | 0.493875 | 0.537237 | 0.358329 | 0.347306 | 0.49095 | 0.495385 | 0.503015 | 0.522589 | 0.430141 | 0.524625 | 0.640979 | 0.499618 | 0.499389 | 7 | training | null | 3 | training |
0.433971 | 0.509841 | 0.495195 | 0.540594 | 0.515665 | 0.500092 | 0.509367 | 0.781116 | 0.117157 | 0.425203 | 0.600335 | 0.457559 | 0.439235 | 0.15092 | 0.04558 | 0.057054 | 0.05153 | 0.092369 | 0.110901 | 0.309834 | 0.020672 | 0.965976 | 0.690945 | 0.352499 | 0.829692 | 0.534709 | 0.557965 | 0.551105 | 0.617032 | 0.558087 | 0.575983 | 0.400573 | 0.079755 | 0.472539 | 0.48754 | 0.479328 | 0.521978 | 0.406593 | 0.537473 | 0.652506 | 0.495184 | 0.499389 | 7 | training | null | 3 | training |
0.459241 | 0.510152 | 0.501078 | 0.53793 | 0.509976 | 0.50165 | 0.379425 | 0.618356 | 0.1668 | 0.337768 | 0.678257 | 0.396786 | 0.437872 | 0.1408 | 0.131518 | 0.049458 | 0.048801 | 0.0926 | 0.104796 | 0.346068 | 0.040072 | 0.976858 | 0.69324 | 0.351368 | 0.617391 | 0.577343 | 0.724665 | 0.647725 | 0.77968 | 0.61557 | 0.608218 | 0.366728 | 0.371003 | 0.537999 | 0.541336 | 0.437123 | 0.519536 | 0.419152 | 0.546039 | 0.652506 | 0.474494 | 0.513821 | 7 | training | null | 3 | training |
0.478355 | 0.508952 | 0.505456 | 0.539436 | 0.514398 | 0.500794 | 0.368558 | 0.539452 | 0.184009 | 0.425535 | 0.564726 | 0.457057 | 0.414587 | 0.15177 | 0.199201 | 0.051137 | 0.050647 | 0.093445 | 0.095639 | 0.348232 | 0.045434 | 0.963356 | 0.69189 | 0.351274 | 0.456628 | 0.619682 | 0.856151 | 0.581206 | 0.632522 | 0.545469 | 0.488397 | 0.320532 | 0.617914 | 0.514475 | 0.5178 | 0.466839 | 0.550061 | 0.394035 | 0.543897 | 0.640979 | 0.474494 | 0.520861 | 7 | training | null | 3 | training |
0.452396 | 0.510215 | 0.502333 | 0.541885 | 0.520071 | 0.499175 | 0.42613 | 0.681413 | 0.207176 | 0.515629 | 0.49225 | 0.514817 | 0.439576 | 0.147382 | 0.107537 | 0.059453 | 0.052975 | 0.092215 | 0.104648 | 0.330301 | 0.042964 | 0.952877 | 0.689189 | 0.353017 | 0.668293 | 0.52257 | 0.750887 | 0.489046 | 0.468214 | 0.487146 | 0.534958 | 0.366234 | 0.333801 | 0.461288 | 0.460641 | 0.502584 | 0.52381 | 0.425432 | 0.509636 | 0.640979 | 0.501096 | 0.498333 | 7 | training | null | 3 | training |
0.454618 | 0.509731 | 0.502914 | 0.541521 | 0.519073 | 0.499649 | 0.423587 | 0.682073 | 0.20519 | 0.501334 | 0.505656 | 0.499247 | 0.44287 | 0.144551 | 0.114916 | 0.054096 | 0.050487 | 0.091216 | 0.106137 | 0.33129 | 0.043144 | 0.95469 | 0.689549 | 0.352828 | 0.662142 | 0.537077 | 0.765122 | 0.504282 | 0.499195 | 0.494436 | 0.538865 | 0.366234 | 0.349854 | 0.491973 | 0.50323 | 0.500861 | 0.52442 | 0.427002 | 0.526767 | 0.640979 | 0.49814 | 0.499389 | 7 | training | null | 3 | training |
0.45673 | 0.517055 | 0.493249 | 0.541488 | 0.520182 | 0.499206 | 0.559077 | 0.589303 | 0.221738 | 0.532251 | 0.592794 | 0.500753 | 0.540325 | 0.147098 | 0.112117 | 0.054416 | 0.049764 | 0.094982 | 0.084248 | 0.322881 | 0.041337 | 0.958587 | 0.68543 | 0.356032 | 0.615058 | 0.40947 | 0.58681 | 0.501681 | 0.453277 | 0.498642 | 0.30476 | 0.227644 | 0.316219 | 0.489927 | 0.508273 | 0.499569 | 0.443223 | 0.480377 | 0.522484 | 0.640979 | 0.572036 | 0.431452 | 7 | training | null | 3 | training |
0.458686 | 0.50861 | 0.5042 | 0.538376 | 0.522369 | 0.498396 | 0.41665 | 0.687025 | 0.208169 | 0.601401 | 0.772937 | 0.514817 | 0.436282 | 0.146037 | 0.11975 | 0.055375 | 0.052734 | 0.089142 | 0.111199 | 0.327456 | 0.041397 | 0.965774 | 0.676855 | 0.363476 | 0.675504 | 0.595996 | 0.784976 | 0.54516 | 0.351484 | 0.503129 | 0.545377 | 0.37908 | 0.351128 | 0.501178 | 0.5178 | 0.410422 | 0.48779 | 0.324961 | 0.554604 | 0.710141 | 0.719827 | 0.276921 | 7 | training | null | 3 | training |
0.45084 | 0.504449 | 0.513018 | 0.539965 | 0.521069 | 0.498931 | 0.348905 | 0.738197 | 0.232659 | 0.558847 | 0.658986 | 0.512305 | 0.362793 | 0.149788 | 0.116761 | 0.055215 | 0.053135 | 0.090679 | 0.119761 | 0.349222 | 0.053567 | 0.961039 | 0.682212 | 0.35933 | 0.702227 | 0.670014 | 0.933695 | 0.519518 | 0.405147 | 0.498362 | 0.762551 | 0.475426 | 0.372532 | 0.504246 | 0.494824 | 0.455211 | 0.581197 | 0.32967 | 0.543897 | 0.640979 | 0.622285 | 0.366683 | 7 | training | null | 3 | training |
0.455885 | 0.510246 | 0.501141 | 0.542481 | 0.519152 | 0.499649 | 0.421737 | 0.670848 | 0.237955 | 0.493022 | 0.481776 | 0.497238 | 0.451616 | 0.145895 | 0.116252 | 0.054975 | 0.050005 | 0.09552 | 0.103903 | 0.333949 | 0.049109 | 0.953716 | 0.690495 | 0.351886 | 0.645599 | 0.518425 | 0.726538 | 0.484215 | 0.5086 | 0.494156 | 0.518678 | 0.351906 | 0.352657 | 0.473562 | 0.495385 | 0.52584 | 0.523199 | 0.430141 | 0.51606 | 0.617925 | 0.483361 | 0.518749 | 7 | training | null | 3 | training |
0.454952 | 0.509841 | 0.501596 | 0.54157 | 0.519263 | 0.499649 | 0.417575 | 0.680092 | 0.234976 | 0.503328 | 0.506494 | 0.503265 | 0.444119 | 0.147311 | 0.114025 | 0.054656 | 0.051289 | 0.09114 | 0.104201 | 0.333949 | 0.047964 | 0.954523 | 0.689459 | 0.35297 | 0.653446 | 0.527603 | 0.730284 | 0.502424 | 0.494216 | 0.494156 | 0.533981 | 0.358576 | 0.343484 | 0.49095 | 0.497066 | 0.500431 | 0.521978 | 0.436421 | 0.518201 | 0.640979 | 0.49814 | 0.497629 | 7 | training | null | 3 | training |
0.478955 | 0.511196 | 0.504624 | 0.543805 | 0.523668 | 0.499618 | 0.34405 | 0.551007 | 0.217436 | 0.577797 | 0.436531 | 0.547464 | 0.44162 | 0.150354 | 0.197356 | 0.050018 | 0.05153 | 0.090679 | 0.101967 | 0.352746 | 0.053146 | 0.945118 | 0.687344 | 0.353724 | 0.440933 | 0.599549 | 0.84791 | 0.422898 | 0.379699 | 0.438356 | 0.519329 | 0.297063 | 0.665818 | 0.534931 | 0.50379 | 0.552541 | 0.503053 | 0.430141 | 0.539615 | 0.652506 | 0.511441 | 0.485661 | 7 | training | null | 3 | training |
0.45024 | 0.506568 | 0.499666 | 0.545625 | 0.528122 | 0.498091 | 0.393067 | 0.668868 | 0.138669 | 0.67188 | 0.315878 | 0.61326 | 0.471493 | 0.128202 | 0.096532 | 0.058174 | 0.052493 | 0.091216 | 0.102712 | 0.324736 | 0.032782 | 0.931213 | 0.685903 | 0.354713 | 0.715376 | 0.571718 | 0.622772 | 0.347089 | 0.233094 | 0.354796 | 0.473745 | 0.365987 | 0.286916 | 0.447992 | 0.4584 | 0.582687 | 0.547009 | 0.423862 | 0.526767 | 0.617925 | 0.518831 | 0.488829 | 7 | training | null | 3 | training |
0.433616 | 0.508578 | 0.494614 | 0.543126 | 0.522496 | 0.498534 | 0.535263 | 0.830967 | 0.153231 | 0.584446 | 0.403016 | 0.547966 | 0.431398 | 0.152548 | 0.043163 | 0.057374 | 0.04848 | 0.091754 | 0.11924 | 0.302352 | 0.021997 | 0.942397 | 0.687951 | 0.353111 | 0.86596 | 0.506286 | 0.469933 | 0.446682 | 0.386337 | 0.414522 | 0.580542 | 0.392174 | 0.076698 | 0.439809 | 0.489781 | 0.5323 | 0.564713 | 0.437991 | 0.567452 | 0.67556 | 0.492228 | 0.499389 | 7 | training | null | 3 | training |
0.45753 | 0.508859 | 0.498537 | 0.541206 | 0.518724 | 0.500168 | 0.424974 | 0.649719 | 0.137676 | 0.489365 | 0.519062 | 0.494224 | 0.439576 | 0.148302 | 0.118987 | 0.050417 | 0.051048 | 0.090602 | 0.105169 | 0.330053 | 0.031155 | 0.956336 | 0.689774 | 0.352781 | 0.644327 | 0.600437 | 0.657985 | 0.515059 | 0.515239 | 0.506213 | 0.541144 | 0.354129 | 0.36183 | 0.53084 | 0.516119 | 0.500861 | 0.531746 | 0.44113 | 0.539615 | 0.640979 | 0.495184 | 0.499389 | 7 | training | null | 3 | training |
0.458797 | 0.508765 | 0.498646 | 0.541405 | 0.519025 | 0.500015 | 0.425205 | 0.655002 | 0.143964 | 0.495682 | 0.512778 | 0.498242 | 0.445369 | 0.142357 | 0.12274 | 0.052017 | 0.051048 | 0.09137 | 0.106062 | 0.330177 | 0.033023 | 0.955631 | 0.689639 | 0.352781 | 0.638388 | 0.606063 | 0.665102 | 0.509856 | 0.50528 | 0.501446 | 0.524539 | 0.357094 | 0.384253 | 0.51652 | 0.508273 | 0.502584 | 0.518926 | 0.425432 | 0.509636 | 0.640979 | 0.495184 | 0.499389 | 7 | training | null | 3 | training |
0.45553 | 0.508064 | 0.497015 | 0.541587 | 0.519279 | 0.499633 | 0.434223 | 0.670188 | 0.139 | 0.503661 | 0.502304 | 0.503767 | 0.45207 | 0.127989 | 0.111608 | 0.056015 | 0.05153 | 0.091524 | 0.104201 | 0.326776 | 0.031577 | 0.954321 | 0.689459 | 0.352828 | 0.650477 | 0.597476 | 0.650867 | 0.501309 | 0.493663 | 0.493034 | 0.532679 | 0.351165 | 0.34221 | 0.487881 | 0.495385 | 0.506029 | 0.528694 | 0.430141 | 0.537473 | 0.629452 | 0.496662 | 0.500093 | 7 | training | null | 3 | training |
0.458863 | 0.509124 | 0.498019 | 0.541488 | 0.519294 | 0.499527 | 0.44324 | 0.665236 | 0.147605 | 0.502331 | 0.50398 | 0.503265 | 0.433669 | 0.139455 | 0.107219 | 0.054895 | 0.051931 | 0.092215 | 0.104648 | 0.326591 | 0.031516 | 0.954523 | 0.689504 | 0.352828 | 0.654507 | 0.59718 | 0.650493 | 0.500566 | 0.493663 | 0.494156 | 0.54147 | 0.357341 | 0.343739 | 0.492995 | 0.492583 | 0.503876 | 0.520147 | 0.433281 | 0.524625 | 0.652506 | 0.496662 | 0.500093 | 7 | training | null | 3 | training |
0.455641 | 0.508937 | 0.497925 | 0.541719 | 0.519263 | 0.499832 | 0.431679 | 0.657313 | 0.141317 | 0.502663 | 0.50398 | 0.501758 | 0.445141 | 0.135208 | 0.109191 | 0.055935 | 0.051129 | 0.09114 | 0.105094 | 0.329559 | 0.031456 | 0.954455 | 0.689504 | 0.352734 | 0.653234 | 0.590075 | 0.648245 | 0.502052 | 0.494769 | 0.494997 | 0.537563 | 0.36327 | 0.354186 | 0.49095 | 0.495945 | 0.497416 | 0.526252 | 0.430141 | 0.520343 | 0.664033 | 0.49814 | 0.499741 | 7 | training | null | 3 | training |
0.456285 | 0.509139 | 0.498301 | 0.54162 | 0.519263 | 0.499649 | 0.43561 | 0.660614 | 0.143633 | 0.502996 | 0.503142 | 0.503265 | 0.440257 | 0.147098 | 0.11428 | 0.054815 | 0.051048 | 0.091524 | 0.106211 | 0.328384 | 0.031336 | 0.954455 | 0.689527 | 0.352687 | 0.652386 | 0.594812 | 0.651616 | 0.502052 | 0.496429 | 0.494156 | 0.540819 | 0.359564 | 0.347561 | 0.491973 | 0.495385 | 0.503015 | 0.523199 | 0.434851 | 0.526767 | 0.652506 | 0.49814 | 0.499389 | 7 | training | null | 3 | training |
0.456308 | 0.50903 | 0.498364 | 0.541587 | 0.519263 | 0.499679 | 0.431679 | 0.664576 | 0.139662 | 0.502331 | 0.504399 | 0.503265 | 0.442529 | 0.147098 | 0.114789 | 0.054496 | 0.051209 | 0.091524 | 0.105615 | 0.328322 | 0.031215 | 0.954523 | 0.689504 | 0.352828 | 0.655567 | 0.596884 | 0.650867 | 0.502795 | 0.494769 | 0.494997 | 0.534958 | 0.356847 | 0.346287 | 0.49095 | 0.495945 | 0.503445 | 0.523199 | 0.428571 | 0.526767 | 0.640979 | 0.495184 | 0.499389 | 7 | training | null | 3 | training |
0.438261 | 0.508547 | 0.494222 | 0.54071 | 0.516997 | 0.499695 | 0.501043 | 0.758666 | 0.138007 | 0.451134 | 0.569334 | 0.474134 | 0.438554 | 0.152053 | 0.056775 | 0.057214 | 0.051771 | 0.091908 | 0.11172 | 0.309463 | 0.024588 | 0.962013 | 0.690382 | 0.352593 | 0.812513 | 0.543295 | 0.527622 | 0.53364 | 0.561709 | 0.540142 | 0.53626 | 0.398103 | 0.122564 | 0.471516 | 0.486419 | 0.481912 | 0.523199 | 0.419152 | 0.528908 | 0.652506 | 0.49814 | 0.499389 | 7 | training | null | 3 | training |
0.460619 | 0.506865 | 0.5026 | 0.537334 | 0.510832 | 0.501344 | 0.469367 | 0.736877 | 0.163159 | 0.330122 | 0.702137 | 0.399297 | 0.514655 | 0.132448 | 0.103593 | 0.048258 | 0.050968 | 0.089526 | 0.110604 | 0.33197 | 0.038806 | 0.978706 | 0.693353 | 0.351132 | 0.742948 | 0.549809 | 0.694322 | 0.650327 | 0.74538 | 0.639123 | 0.513794 | 0.356106 | 0.304498 | 0.513452 | 0.559268 | 0.427218 | 0.56044 | 0.434851 | 0.578158 | 0.721668 | 0.492228 | 0.514877 | 7 | training | null | 3 | training |
0.47031 | 0.511243 | 0.504404 | 0.538724 | 0.513177 | 0.500748 | 0.341275 | 0.570485 | 0.209493 | 0.404923 | 0.607038 | 0.438975 | 0.395278 | 0.152902 | 0.180372 | 0.052337 | 0.048882 | 0.091293 | 0.099808 | 0.349778 | 0.052061 | 0.967084 | 0.692138 | 0.350944 | 0.464475 | 0.599845 | 0.851281 | 0.614652 | 0.667375 | 0.58108 | 0.517701 | 0.311144 | 0.599058 | 0.524703 | 0.509955 | 0.439707 | 0.514652 | 0.419152 | 0.51606 | 0.640979 | 0.475971 | 0.515581 | 7 | training | null | 3 | training |
0.454396 | 0.509654 | 0.502428 | 0.541918 | 0.520023 | 0.498992 | 0.405552 | 0.680092 | 0.230012 | 0.516959 | 0.489736 | 0.513812 | 0.431511 | 0.149222 | 0.114153 | 0.059853 | 0.052092 | 0.092215 | 0.106062 | 0.335309 | 0.048145 | 0.952608 | 0.689167 | 0.353064 | 0.650477 | 0.535893 | 0.747516 | 0.486444 | 0.470427 | 0.484342 | 0.552215 | 0.365246 | 0.348325 | 0.453106 | 0.463443 | 0.502584 | 0.530525 | 0.44113 | 0.526767 | 0.640979 | 0.499618 | 0.497277 | 7 | training | null | 3 | training |
0.454107 | 0.509747 | 0.501737 | 0.541471 | 0.519168 | 0.499695 | 0.413876 | 0.681743 | 0.233652 | 0.502331 | 0.506075 | 0.502762 | 0.439349 | 0.147169 | 0.113008 | 0.053936 | 0.051048 | 0.091063 | 0.105839 | 0.33364 | 0.047723 | 0.95459 | 0.689504 | 0.352781 | 0.657052 | 0.527899 | 0.733281 | 0.505768 | 0.497535 | 0.494716 | 0.540493 | 0.36154 | 0.340426 | 0.495041 | 0.499868 | 0.500431 | 0.530525 | 0.425432 | 0.522484 | 0.652506 | 0.496662 | 0.497629 | 7 | training | null | 3 | training |
0.455552 | 0.500507 | 0.505503 | 0.543093 | 0.520768 | 0.499481 | 0.420119 | 0.793991 | 0.226371 | 0.454458 | 0.518224 | 0.56454 | 0.373924 | 0.111641 | 0.126429 | 0.056095 | 0.051771 | 0.098824 | 0.118347 | 0.327642 | 0.045976 | 0.956807 | 0.692183 | 0.350708 | 0.737646 | 0.672087 | 0.837421 | 0.456344 | 0.459916 | 0.542385 | 0.615706 | 0.516188 | 0.441586 | 0.481745 | 0.484738 | 0.535314 | 0.611111 | 0.44898 | 0.531049 | 0.629452 | 0.46267 | 0.535998 | 7 | training | null | 3 | training |
0.451307 | 0.497126 | 0.5034 | 0.553469 | 0.530007 | 0.497709 | 0.48902 | 0.862661 | 0.230674 | 0.199137 | 0.551739 | 0.814666 | 0.344392 | 0.134288 | 0.132663 | 0.077605 | 0.058994 | 0.148851 | 0.09214 | 0.335062 | 0.04929 | 0.965203 | 0.708095 | 0.33582 | 0.730223 | 0.648401 | 0.808202 | 0.153477 | 0.318844 | 0.796989 | 0.582821 | 0.619451 | 0.392152 | 0.305821 | 0.286365 | 0.76615 | 0.713675 | 0.456829 | 0.473233 | 0.606398 | 0.215859 | 0.775361 | 7 | training | null | 3 | training |
0.462019 | 0.513222 | 0.493406 | 0.556316 | 0.537931 | 0.497785 | 0.360697 | 0.657643 | 0.24689 | 0.003324 | 0.664432 | 0.955299 | 0.513519 | 0.111216 | 0.126493 | 0.083043 | 0.064853 | 0.164912 | 0.122441 | 0.327147 | 0.058086 | 0.97313 | 0.718966 | 0.320837 | 0.619088 | 0.532932 | 0.59168 | 0.007432 | 0.189943 | 0.97897 | 0.38095 | 0.36574 | 0.295579 | 0.267977 | 0.168686 | 0.802756 | 0.550672 | 0.450549 | 0.498929 | 0.664033 | 0.031119 | 0.97178 | 7 | training | null | 3 | training |
0.467309 | 0.505244 | 0.484494 | 0.546386 | 0.536679 | 0.495051 | 0.335957 | 0.471113 | 0.275352 | 0.061836 | 0.762882 | 0.86439 | 0.475696 | 0.081491 | 0.05773 | 0.08904 | 0.065093 | 0.116422 | 0.150286 | 0.354045 | 0.06628 | 0.972895 | 0.717368 | 0.317869 | 0.491835 | 0.344037 | 0.43884 | 0.146788 | 0.147344 | 0.944761 | 0.415138 | 0.269641 | 0.291503 | 0.302752 | 0.258906 | 0.550818 | 0.612943 | 0.621664 | 0.35546 | 0.594871 | 0.048854 | 0.953476 | 7 | training | null | 3 | training |
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