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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0.468287 | 0.502767 | 0.486205 | 0.541587 | 0.519263 | 0.499649 | 0.331795 | 0.230109 | 0.720483 | 0.502331 | 0.504399 | 0.503265 | 0.433329 | 0.139172 | 0.115361 | 0.054656 | 0.051209 | 0.091524 | 0.097277 | 0.378222 | 0.102309 | 0.954523 | 0.689504 | 0.352828 | 0.277413 | 0.362986 | 0.342192 | 0.502052 | 0.494769 | 0.494156 | 0.526492 | 0.391432 | 0.354441 | 0.49095 | 0.495945 | 0.503015 | 0.521978 | 0.437991 | 0.524625 | 0.640979 | 0.496662 | 0.499389 | 1 | training | null | 1 | training |
0.468331 | 0.502782 | 0.486273 | 0.541587 | 0.519263 | 0.499649 | 0.331886 | 0.229449 | 0.720085 | 0.502331 | 0.504399 | 0.503265 | 0.433646 | 0.139129 | 0.11531 | 0.054656 | 0.051209 | 0.091524 | 0.097396 | 0.378357 | 0.10267 | 0.954523 | 0.689504 | 0.352828 | 0.277155 | 0.362397 | 0.342638 | 0.502052 | 0.494769 | 0.494156 | 0.527012 | 0.391629 | 0.353982 | 0.49095 | 0.495945 | 0.503015 | 0.522225 | 0.431711 | 0.527633 | 0.640979 | 0.496662 | 0.499389 | 1 | training | null | 1 | training |
0.468295 | 0.502857 | 0.486223 | 0.541587 | 0.519263 | 0.499649 | 0.331426 | 0.229716 | 0.720223 | 0.502331 | 0.504399 | 0.503265 | 0.433464 | 0.138959 | 0.115158 | 0.054656 | 0.051209 | 0.091524 | 0.097518 | 0.37826 | 0.102551 | 0.954523 | 0.689504 | 0.352828 | 0.276741 | 0.363339 | 0.340988 | 0.502052 | 0.494769 | 0.494156 | 0.527151 | 0.391233 | 0.354598 | 0.49095 | 0.495945 | 0.503015 | 0.523693 | 0.430441 | 0.522388 | 0.640979 | 0.496662 | 0.499389 | 1 | training | null | 1 | training |
0.46835 | 0.502819 | 0.486252 | 0.541587 | 0.519263 | 0.499649 | 0.331143 | 0.230109 | 0.720613 | 0.502331 | 0.504399 | 0.503265 | 0.433466 | 0.138959 | 0.115195 | 0.054656 | 0.051209 | 0.091524 | 0.097692 | 0.378482 | 0.102694 | 0.954523 | 0.689504 | 0.352828 | 0.27711 | 0.363525 | 0.341001 | 0.502052 | 0.494769 | 0.494156 | 0.526935 | 0.390489 | 0.354896 | 0.49095 | 0.495945 | 0.503015 | 0.52442 | 0.425714 | 0.518731 | 0.640979 | 0.496662 | 0.499389 | 1 | training | null | 1 | training |
0.468348 | 0.502807 | 0.48627 | 0.541587 | 0.519263 | 0.499649 | 0.331993 | 0.228506 | 0.720215 | 0.502331 | 0.504399 | 0.503265 | 0.433464 | 0.138959 | 0.114964 | 0.054656 | 0.051209 | 0.091524 | 0.097093 | 0.378531 | 0.102475 | 0.954523 | 0.689504 | 0.352828 | 0.276776 | 0.363395 | 0.34114 | 0.502052 | 0.494769 | 0.494156 | 0.525377 | 0.391196 | 0.355108 | 0.49095 | 0.495945 | 0.503015 | 0.522444 | 0.431482 | 0.510767 | 0.640979 | 0.496662 | 0.499389 | 1 | training | null | 1 | training |
0.468416 | 0.502857 | 0.486264 | 0.541587 | 0.519263 | 0.499649 | 0.330917 | 0.229137 | 0.720401 | 0.502335 | 0.504394 | 0.503276 | 0.43389 | 0.139258 | 0.1152 | 0.054656 | 0.051209 | 0.091523 | 0.097458 | 0.378524 | 0.102495 | 0.95452 | 0.689504 | 0.352827 | 0.27691 | 0.362367 | 0.34178 | 0.502036 | 0.494769 | 0.494162 | 0.527787 | 0.390936 | 0.354469 | 0.49095 | 0.495933 | 0.503015 | 0.520627 | 0.42709 | 0.528812 | 0.640979 | 0.496662 | 0.499389 | 1 | training | null | 1 | training |
0.468087 | 0.502622 | 0.485988 | 0.541603 | 0.519263 | 0.499666 | 0.318832 | 0.23084 | 0.715534 | 0.50245 | 0.50398 | 0.504055 | 0.433644 | 0.140341 | 0.117208 | 0.054638 | 0.051192 | 0.091463 | 0.094561 | 0.378031 | 0.102843 | 0.954371 | 0.689487 | 0.352727 | 0.256985 | 0.31923 | 0.28755 | 0.50128 | 0.494769 | 0.494537 | 0.526726 | 0.390691 | 0.356445 | 0.490513 | 0.494705 | 0.503015 | 0.512155 | 0.434516 | 0.522628 | 0.640979 | 0.497293 | 0.499239 | 1 | training | null | 1 | training |
0.46835 | 0.502852 | 0.486206 | 0.54161 | 0.519263 | 0.499631 | 0.332762 | 0.231511 | 0.722335 | 0.501942 | 0.504328 | 0.503265 | 0.434286 | 0.138966 | 0.11508 | 0.054609 | 0.051129 | 0.091588 | 0.0976 | 0.378418 | 0.102469 | 0.954514 | 0.689504 | 0.352856 | 0.277749 | 0.361283 | 0.342163 | 0.503447 | 0.494769 | 0.493526 | 0.525596 | 0.39141 | 0.354864 | 0.489755 | 0.496128 | 0.502836 | 0.52396 | 0.43067 | 0.526598 | 0.640979 | 0.49716 | 0.498685 | 1 | training | null | 1 | training |
0.468376 | 0.502875 | 0.48629 | 0.541589 | 0.519263 | 0.499649 | 0.332014 | 0.231478 | 0.719821 | 0.502331 | 0.5043 | 0.502954 | 0.433626 | 0.138808 | 0.11524 | 0.054606 | 0.051079 | 0.091583 | 0.097288 | 0.378422 | 0.102647 | 0.954497 | 0.689504 | 0.352828 | 0.276969 | 0.362351 | 0.342457 | 0.503255 | 0.494769 | 0.493207 | 0.526569 | 0.390894 | 0.354987 | 0.490318 | 0.496323 | 0.503116 | 0.524653 | 0.429912 | 0.517696 | 0.619609 | 0.49462 | 0.49912 | 1 | training | null | 1 | training |
0.467592 | 0.502756 | 0.489815 | 0.542276 | 0.519289 | 0.501002 | 0.270896 | 0.21756 | 0.719278 | 0.506148 | 0.480957 | 0.493699 | 0.412242 | 0.14539 | 0.118648 | 0.056215 | 0.054867 | 0.096755 | 0.092745 | 0.384606 | 0.104795 | 0.953696 | 0.688729 | 0.35507 | 0.276912 | 0.328934 | 0.432422 | 0.50933 | 0.515643 | 0.489405 | 0.621626 | 0.400487 | 0.378104 | 0.504189 | 0.464948 | 0.531351 | 0.491871 | 0.425273 | 0.53538 | 0.615853 | 0.507307 | 0.484375 | 1 | training | null | 1 | training |
0.47282 | 0.506055 | 0.490331 | 0.549416 | 0.519793 | 0.510132 | 0.359006 | 0.183362 | 0.67927 | 0.568014 | 0.208969 | 0.432937 | 0.367133 | 0.118789 | 0.102754 | 0.07737 | 0.079039 | 0.146293 | 0.087871 | 0.380287 | 0.098059 | 0.941675 | 0.678961 | 0.377505 | 0.207206 | 0.359813 | 0.545771 | 0.532704 | 0.753772 | 0.421626 | 0.691907 | 0.40399 | 0.441082 | 0.529116 | 0.190761 | 0.814795 | 0.281331 | 0.469264 | 0.533239 | 0.743945 | 0.723348 | 0.280125 | 1 | training | null | 1 | training |
0.468377 | 0.510623 | 0.485568 | 0.554142 | 0.515414 | 0.514593 | 0.485412 | 0.30829 | 0.606156 | 0.693146 | 0.012841 | 0.331509 | 0.412113 | 0.110946 | 0.083258 | 0.076066 | 0.083982 | 0.160486 | 0.072546 | 0.35408 | 0.085309 | 0.932546 | 0.669425 | 0.394313 | 0.217191 | 0.346569 | 0.33683 | 0.60162 | 0.968945 | 0.284671 | 0.566702 | 0.349558 | 0.33943 | 0.548859 | 0.131858 | 0.945436 | 0.43233 | 0.682518 | 0.348555 | 0.689418 | 0.880804 | 0.109758 | 1 | training | null | 1 | training |
0.467152 | 0.506934 | 0.4829 | 0.550179 | 0.510526 | 0.510787 | 0.453447 | 0.326826 | 0.555423 | 0.778951 | 0.064125 | 0.269341 | 0.492728 | 0.123593 | 0.080193 | 0.051963 | 0.06034 | 0.130173 | 0.107453 | 0.351797 | 0.078739 | 0.933728 | 0.667868 | 0.388723 | 0.345896 | 0.290485 | 0.37538 | 0.676699 | 0.93472 | 0.189948 | 0.316529 | 0.327651 | 0.315446 | 0.546848 | 0.383536 | 0.807895 | 0.448176 | 0.532923 | 0.445637 | 0.622847 | 0.893175 | 0.099855 | 1 | training | null | 1 | training |
0.469644 | 0.510593 | 0.483523 | 0.542965 | 0.504338 | 0.50666 | 0.402437 | 0.360166 | 0.369915 | 0.856539 | 0.12867 | 0.195842 | 0.494062 | 0.177897 | 0.126977 | 0.035063 | 0.048235 | 0.091375 | 0.107587 | 0.354483 | 0.070763 | 0.933941 | 0.66615 | 0.38597 | 0.432709 | 0.308396 | 0.291077 | 0.777064 | 0.89462 | 0.104117 | 0.29775 | 0.335856 | 0.234837 | 0.579969 | 0.560124 | 0.60845 | 0.358426 | 0.51539 | 0.509443 | 0.709235 | 0.898157 | 0.105337 | 1 | training | null | 1 | training |
0.44359 | 0.511845 | 0.493709 | 0.533913 | 0.501614 | 0.503839 | 0.384873 | 0.54551 | 0.342591 | 0.907131 | 0.2133 | 0.10377 | 0.518381 | 0.097494 | 0.08426 | 0.022142 | 0.039348 | 0.056597 | 0.094242 | 0.358837 | 0.067629 | 0.934007 | 0.664651 | 0.37994 | 0.460586 | 0.421738 | 0.54075 | 0.890027 | 0.833455 | 0.046748 | 0.271896 | 0.337219 | 0.294789 | 0.68479 | 0.7301 | 0.413098 | 0.38987 | 0.448151 | 0.452927 | 0.669991 | 0.88097 | 0.107196 | 1 | training | null | 1 | training |
0.463 | 0.509523 | 0.491391 | 0.525806 | 0.502432 | 0.501801 | 0.418575 | 0.758648 | 0.080708 | 0.929633 | 0.326662 | 0.026208 | 0.333206 | 0.153393 | 0.158334 | 0.030811 | 0.037689 | 0.010834 | 0.083372 | 0.304564 | 0.024475 | 0.936089 | 0.664787 | 0.375079 | 0.682512 | 0.547902 | 0.467327 | 0.98316 | 0.744143 | 0.03609 | 0.526598 | 0.309326 | 0.452677 | 0.674654 | 0.742832 | 0.162171 | 0.628987 | 0.486021 | 0.515892 | 0.741225 | 0.881485 | 0.127956 | 1 | training | null | 1 | training |
0.450169 | 0.494867 | 0.501035 | 0.534132 | 0.514005 | 0.499993 | 0.518872 | 0.714691 | 0.195385 | 0.662919 | 0.456602 | 0.315577 | 0.375463 | 0.076319 | 0.104242 | 0.0484 | 0.047423 | 0.053999 | 0.12974 | 0.323059 | 0.039017 | 0.947927 | 0.680442 | 0.359765 | 0.836231 | 0.678863 | 0.850292 | 0.703401 | 0.575608 | 0.324692 | 0.599163 | 0.58775 | 0.43468 | 0.580831 | 0.580751 | 0.323965 | 0.509308 | 0.450408 | 0.457763 | 0.6301 | 0.640501 | 0.360778 | 1 | training | null | 1 | training |
0.454482 | 0.506749 | 0.503133 | 0.54181 | 0.519185 | 0.499849 | 0.415406 | 0.696199 | 0.204242 | 0.500067 | 0.500737 | 0.499343 | 0.423909 | 0.134484 | 0.115736 | 0.0545 | 0.051835 | 0.092804 | 0.107986 | 0.32925 | 0.041889 | 0.954537 | 0.689688 | 0.352761 | 0.686554 | 0.574865 | 0.778898 | 0.501288 | 0.501265 | 0.49477 | 0.551106 | 0.432252 | 0.372492 | 0.500661 | 0.49672 | 0.504844 | 0.539957 | 0.411232 | 0.505522 | 0.610025 | 0.494354 | 0.500247 | 1 | training | null | 1 | training |
0.459461 | 0.510457 | 0.50295 | 0.541587 | 0.519482 | 0.499616 | 0.411008 | 0.643213 | 0.207057 | 0.510157 | 0.499805 | 0.503648 | 0.444313 | 0.150975 | 0.130721 | 0.053174 | 0.05022 | 0.091047 | 0.102626 | 0.335826 | 0.044719 | 0.95376 | 0.689175 | 0.353006 | 0.615092 | 0.543006 | 0.781403 | 0.499121 | 0.485489 | 0.488913 | 0.528589 | 0.33952 | 0.393638 | 0.496064 | 0.504174 | 0.502773 | 0.516435 | 0.433281 | 0.526334 | 0.636835 | 0.496131 | 0.49526 | 1 | training | null | 1 | training |
0.466694 | 0.509815 | 0.504327 | 0.544767 | 0.526523 | 0.498414 | 0.356795 | 0.587445 | 0.186259 | 0.629599 | 0.392844 | 0.573417 | 0.446946 | 0.152854 | 0.155766 | 0.056565 | 0.053023 | 0.091621 | 0.099963 | 0.350705 | 0.046399 | 0.938963 | 0.686043 | 0.354627 | 0.518667 | 0.605956 | 0.845991 | 0.378162 | 0.280124 | 0.400353 | 0.517138 | 0.328881 | 0.512128 | 0.490892 | 0.460314 | 0.565664 | 0.546419 | 0.422698 | 0.524288 | 0.640979 | 0.517835 | 0.47811 | 1 | training | null | 1 | training |
0.448985 | 0.509572 | 0.499536 | 0.544021 | 0.526608 | 0.498176 | 0.479974 | 0.769898 | 0.128435 | 0.642819 | 0.341141 | 0.596804 | 0.475905 | 0.145814 | 0.083403 | 0.056173 | 0.052214 | 0.091136 | 0.109929 | 0.316401 | 0.030653 | 0.934671 | 0.686538 | 0.354363 | 0.782406 | 0.554293 | 0.646578 | 0.402998 | 0.261638 | 0.384374 | 0.581376 | 0.364827 | 0.242175 | 0.474757 | 0.473102 | 0.545457 | 0.523391 | 0.430282 | 0.518009 | 0.674006 | 0.504932 | 0.490086 | 1 | training | null | 1 | training |
0.444689 | 0.508905 | 0.497028 | 0.541558 | 0.51928 | 0.499739 | 0.476789 | 0.707561 | 0.10969 | 0.503437 | 0.499221 | 0.501775 | 0.442127 | 0.146626 | 0.080755 | 0.052736 | 0.050021 | 0.091139 | 0.106418 | 0.317218 | 0.023076 | 0.9543 | 0.68951 | 0.352946 | 0.747116 | 0.562021 | 0.607653 | 0.502962 | 0.495832 | 0.491043 | 0.540288 | 0.383019 | 0.209883 | 0.503189 | 0.510112 | 0.504524 | 0.526114 | 0.430177 | 0.515507 | 0.646678 | 0.493324 | 0.501244 | 1 | training | null | 1 | training |
0.456486 | 0.508614 | 0.499155 | 0.541642 | 0.519171 | 0.499839 | 0.431219 | 0.650769 | 0.115915 | 0.500116 | 0.50719 | 0.500624 | 0.448327 | 0.14172 | 0.111121 | 0.054641 | 0.051301 | 0.091543 | 0.105723 | 0.329551 | 0.027968 | 0.954874 | 0.689507 | 0.352932 | 0.647508 | 0.597925 | 0.686371 | 0.503656 | 0.499786 | 0.496122 | 0.532529 | 0.362073 | 0.366809 | 0.499558 | 0.498168 | 0.499424 | 0.52335 | 0.424955 | 0.525155 | 0.653672 | 0.49467 | 0.499864 | 1 | training | null | 1 | training |
0.456794 | 0.508996 | 0.499237 | 0.541701 | 0.519297 | 0.499689 | 0.435483 | 0.660755 | 0.119846 | 0.503026 | 0.503796 | 0.504444 | 0.446535 | 0.145314 | 0.112472 | 0.054942 | 0.051349 | 0.091053 | 0.104697 | 0.327588 | 0.027356 | 0.954328 | 0.689496 | 0.352798 | 0.656518 | 0.592456 | 0.676601 | 0.501727 | 0.492867 | 0.493582 | 0.535086 | 0.363556 | 0.345997 | 0.486456 | 0.493968 | 0.495093 | 0.526622 | 0.427072 | 0.524072 | 0.640979 | 0.495118 | 0.499757 | 1 | training | null | 1 | training |
0.455122 | 0.509917 | 0.499046 | 0.541521 | 0.51926 | 0.499629 | 0.427736 | 0.654701 | 0.116938 | 0.502331 | 0.50446 | 0.503411 | 0.436967 | 0.143945 | 0.110332 | 0.054197 | 0.050866 | 0.091925 | 0.103173 | 0.327395 | 0.027368 | 0.95445 | 0.689504 | 0.352781 | 0.659039 | 0.593158 | 0.682418 | 0.502269 | 0.494688 | 0.494115 | 0.533242 | 0.3603 | 0.346143 | 0.493122 | 0.495548 | 0.500842 | 0.522781 | 0.428113 | 0.525828 | 0.650822 | 0.496662 | 0.499389 | 1 | training | null | 1 | training |
0.456654 | 0.509651 | 0.498942 | 0.54165 | 0.519248 | 0.49972 | 0.413814 | 0.650239 | 0.128201 | 0.502017 | 0.504375 | 0.503265 | 0.43552 | 0.157771 | 0.114033 | 0.053821 | 0.050982 | 0.091379 | 0.104553 | 0.327893 | 0.027787 | 0.954491 | 0.689484 | 0.352692 | 0.655274 | 0.593461 | 0.681476 | 0.502073 | 0.494831 | 0.494701 | 0.555668 | 0.35401 | 0.34848 | 0.488054 | 0.496908 | 0.50586 | 0.517945 | 0.431711 | 0.510358 | 0.640979 | 0.498057 | 0.499057 | 1 | training | null | 1 | training |
0.455775 | 0.509306 | 0.499419 | 0.541599 | 0.519263 | 0.499637 | 0.435833 | 0.659134 | 0.118544 | 0.502331 | 0.504088 | 0.503135 | 0.43916 | 0.147671 | 0.115053 | 0.054555 | 0.051209 | 0.091504 | 0.105466 | 0.327679 | 0.026893 | 0.954505 | 0.689521 | 0.352806 | 0.658518 | 0.591432 | 0.674118 | 0.502328 | 0.495447 | 0.494436 | 0.528523 | 0.359475 | 0.347257 | 0.490421 | 0.494264 | 0.503015 | 0.522609 | 0.429683 | 0.523037 | 0.640979 | 0.497808 | 0.499389 | 1 | training | null | 1 | training |
0.447988 | 0.509029 | 0.497772 | 0.541373 | 0.518489 | 0.499649 | 0.466036 | 0.706619 | 0.116979 | 0.485791 | 0.525628 | 0.493507 | 0.440855 | 0.146348 | 0.089274 | 0.055822 | 0.051357 | 0.091553 | 0.106633 | 0.319266 | 0.024634 | 0.957163 | 0.689815 | 0.352854 | 0.729605 | 0.569895 | 0.631472 | 0.511639 | 0.519702 | 0.508904 | 0.537083 | 0.376782 | 0.253499 | 0.479009 | 0.489617 | 0.496666 | 0.523576 | 0.424585 | 0.522652 | 0.640979 | 0.500415 | 0.499389 | 1 | training | null | 1 | training |
0.448386 | 0.509788 | 0.500513 | 0.538897 | 0.512645 | 0.500681 | 0.441349 | 0.727933 | 0.12703 | 0.382899 | 0.643241 | 0.424737 | 0.4276 | 0.146248 | 0.090822 | 0.052179 | 0.048817 | 0.089793 | 0.111058 | 0.328651 | 0.029446 | 0.971355 | 0.691985 | 0.351641 | 0.75014 | 0.575673 | 0.67182 | 0.601203 | 0.696236 | 0.586068 | 0.566171 | 0.378706 | 0.248941 | 0.506752 | 0.521697 | 0.456116 | 0.547276 | 0.441042 | 0.49905 | 0.663904 | 0.486881 | 0.503589 | 1 | training | null | 1 | training |
0.471722 | 0.50816 | 0.502826 | 0.538709 | 0.512438 | 0.501286 | 0.3678 | 0.587404 | 0.208786 | 0.376956 | 0.622266 | 0.433084 | 0.446621 | 0.14039 | 0.162561 | 0.052789 | 0.051117 | 0.091427 | 0.099602 | 0.338771 | 0.040561 | 0.969927 | 0.692844 | 0.350753 | 0.550862 | 0.594276 | 0.818543 | 0.624318 | 0.70717 | 0.584911 | 0.477353 | 0.334835 | 0.539109 | 0.528518 | 0.523807 | 0.444865 | 0.533948 | 0.451696 | 0.532685 | 0.645642 | 0.474012 | 0.521257 | 1 | training | null | 1 | training |
0.455661 | 0.510213 | 0.503043 | 0.541858 | 0.520038 | 0.499135 | 0.416474 | 0.667228 | 0.207544 | 0.5148 | 0.493097 | 0.514405 | 0.437164 | 0.144684 | 0.119395 | 0.059412 | 0.052903 | 0.091923 | 0.104777 | 0.333666 | 0.043103 | 0.953048 | 0.689225 | 0.353089 | 0.641393 | 0.538927 | 0.776116 | 0.491138 | 0.469526 | 0.488141 | 0.531164 | 0.359056 | 0.387242 | 0.464035 | 0.466831 | 0.500087 | 0.516168 | 0.435786 | 0.512788 | 0.663256 | 0.500897 | 0.497676 | 1 | training | null | 1 | training |
0.454097 | 0.510422 | 0.501606 | 0.541572 | 0.519247 | 0.499666 | 0.437423 | 0.67218 | 0.202026 | 0.504045 | 0.510918 | 0.501622 | 0.448827 | 0.145292 | 0.112431 | 0.053898 | 0.050591 | 0.091581 | 0.103654 | 0.329709 | 0.041747 | 0.954878 | 0.689238 | 0.352985 | 0.660915 | 0.521209 | 0.737767 | 0.502549 | 0.49398 | 0.495214 | 0.52433 | 0.356752 | 0.331914 | 0.492294 | 0.502116 | 0.503499 | 0.515029 | 0.426155 | 0.526189 | 0.646289 | 0.501328 | 0.494251 | 1 | training | null | 1 | training |
0.45711 | 0.512323 | 0.496805 | 0.541544 | 0.521395 | 0.499784 | 0.465039 | 0.637007 | 0.20705 | 0.543484 | 0.632024 | 0.505996 | 0.484037 | 0.146307 | 0.121348 | 0.049742 | 0.051672 | 0.094362 | 0.092148 | 0.325082 | 0.041112 | 0.960292 | 0.683908 | 0.357426 | 0.627722 | 0.454662 | 0.645804 | 0.491413 | 0.427947 | 0.504036 | 0.431754 | 0.319976 | 0.350226 | 0.541412 | 0.518045 | 0.500736 | 0.451805 | 0.439419 | 0.528667 | 0.66209 | 0.598539 | 0.396817 | 1 | training | null | 1 | training |
0.452606 | 0.514205 | 0.500106 | 0.540319 | 0.525877 | 0.499189 | 0.442775 | 0.653562 | 0.227301 | 0.631837 | 0.880952 | 0.527215 | 0.455767 | 0.120285 | 0.102032 | 0.047198 | 0.056025 | 0.094661 | 0.111092 | 0.332054 | 0.044558 | 0.970717 | 0.672331 | 0.368292 | 0.630381 | 0.488382 | 0.677734 | 0.479317 | 0.267493 | 0.507108 | 0.368153 | 0.288419 | 0.338591 | 0.634718 | 0.540586 | 0.479633 | 0.591212 | 0.599704 | 0.481221 | 0.675301 | 0.804268 | 0.186484 | 1 | training | null | 1 | training |
0.458293 | 0.507919 | 0.495274 | 0.54033 | 0.527669 | 0.498671 | 0.42693 | 0.722232 | 0.189929 | 0.644937 | 0.951309 | 0.548553 | 0.42572 | 0.122771 | 0.117908 | 0.044936 | 0.053571 | 0.093992 | 0.107656 | 0.337095 | 0.04986 | 0.973723 | 0.669676 | 0.373008 | 0.642344 | 0.585174 | 0.653755 | 0.465337 | 0.202356 | 0.504389 | 0.527235 | 0.383469 | 0.402004 | 0.622065 | 0.512278 | 0.469254 | 0.552921 | 0.476143 | 0.476746 | 0.674135 | 0.867453 | 0.13216 | 1 | training | null | 1 | training |
0.46319 | 0.503704 | 0.495452 | 0.54045 | 0.527956 | 0.497972 | 0.414967 | 0.656834 | 0.315717 | 0.641325 | 0.945152 | 0.581493 | 0.474253 | 0.184292 | 0.122447 | 0.051359 | 0.055696 | 0.095908 | 0.095553 | 0.331346 | 0.051314 | 0.973306 | 0.670395 | 0.37524 | 0.707868 | 0.480102 | 0.561677 | 0.460481 | 0.186455 | 0.487659 | 0.621563 | 0.369018 | 0.309995 | 0.559605 | 0.496902 | 0.460756 | 0.51031 | 0.32519 | 0.616775 | 0.612744 | 0.869063 | 0.136388 | 1 | training | null | 1 | training |
0.458152 | 0.504465 | 0.494426 | 0.540511 | 0.528058 | 0.49748 | 0.433269 | 0.637178 | 0.364416 | 0.630272 | 0.944715 | 0.600229 | 0.382739 | 0.123563 | 0.100735 | 0.055839 | 0.051783 | 0.094346 | 0.123516 | 0.349249 | 0.063264 | 0.973323 | 0.671008 | 0.377166 | 0.64564 | 0.519113 | 0.603894 | 0.454001 | 0.161473 | 0.470344 | 0.536319 | 0.33904 | 0.318478 | 0.487962 | 0.493678 | 0.448591 | 0.55312 | 0.563332 | 0.479681 | 0.683849 | 0.857589 | 0.13502 | 1 | training | null | 1 | training |
0.460643 | 0.504849 | 0.493168 | 0.540679 | 0.528219 | 0.496122 | 0.404282 | 0.654857 | 0.334459 | 0.625367 | 0.944427 | 0.608429 | 0.435132 | 0.157469 | 0.121386 | 0.060147 | 0.050718 | 0.090184 | 0.117831 | 0.348429 | 0.065529 | 0.973227 | 0.671458 | 0.379274 | 0.621121 | 0.507962 | 0.517116 | 0.446155 | 0.150185 | 0.450908 | 0.615008 | 0.378237 | 0.304601 | 0.437327 | 0.477591 | 0.431975 | 0.563417 | 0.532641 | 0.54 | 0.692268 | 0.867104 | 0.133497 | 1 | training | null | 1 | training |
0.459424 | 0.506765 | 0.494273 | 0.541006 | 0.528434 | 0.493707 | 0.389689 | 0.697987 | 0.312478 | 0.616847 | 0.944079 | 0.640195 | 0.475702 | 0.154532 | 0.11703 | 0.063542 | 0.045529 | 0.088524 | 0.103149 | 0.349126 | 0.069121 | 0.973055 | 0.672095 | 0.381265 | 0.624385 | 0.605274 | 0.494173 | 0.443667 | 0.143347 | 0.428507 | 0.577878 | 0.370487 | 0.39511 | 0.380796 | 0.480399 | 0.407253 | 0.544642 | 0.514243 | 0.518129 | 0.68644 | 0.860229 | 0.134399 | 1 | training | null | 1 | training |
0.458154 | 0.508286 | 0.498226 | 0.541353 | 0.526907 | 0.493942 | 0.337669 | 0.702268 | 0.415074 | 0.592384 | 0.866421 | 0.634772 | 0.419367 | 0.169213 | 0.11465 | 0.064455 | 0.045722 | 0.085978 | 0.113874 | 0.359113 | 0.077389 | 0.969649 | 0.675663 | 0.378281 | 0.624145 | 0.579642 | 0.577815 | 0.444945 | 0.195767 | 0.421223 | 0.81877 | 0.323585 | 0.337374 | 0.354019 | 0.473228 | 0.413325 | 0.63169 | 0.430829 | 0.571759 | 0.665328 | 0.801196 | 0.190993 | 1 | training | null | 1 | training |
0.458812 | 0.5087 | 0.492957 | 0.541814 | 0.521686 | 0.4974 | 0.296464 | 0.700658 | 0.41234 | 0.528931 | 0.61368 | 0.549851 | 0.424262 | 0.19073 | 0.109254 | 0.058652 | 0.04801 | 0.090558 | 0.111753 | 0.36508 | 0.083465 | 0.95968 | 0.685473 | 0.361517 | 0.618561 | 0.550773 | 0.525496 | 0.477634 | 0.404687 | 0.469704 | 0.736862 | 0.313892 | 0.296215 | 0.419732 | 0.490895 | 0.476473 | 0.581642 | 0.450973 | 0.520511 | 0.661961 | 0.587728 | 0.40449 | 1 | training | null | 1 | training |
0.464984 | 0.505898 | 0.488147 | 0.541589 | 0.519286 | 0.499455 | 0.352241 | 0.670618 | 0.433213 | 0.500034 | 0.500737 | 0.499354 | 0.448387 | 0.14766 | 0.114802 | 0.054033 | 0.051323 | 0.092042 | 0.101059 | 0.35407 | 0.080524 | 0.9545 | 0.689663 | 0.352444 | 0.574163 | 0.60545 | 0.390007 | 0.501635 | 0.499077 | 0.49621 | 0.527381 | 0.354224 | 0.347154 | 0.493375 | 0.496669 | 0.506474 | 0.529098 | 0.448838 | 0.538267 | 0.644347 | 0.494819 | 0.503051 | 1 | training | null | 1 | training |
0.469017 | 0.505733 | 0.489463 | 0.542061 | 0.519373 | 0.499781 | 0.323378 | 0.634351 | 0.431517 | 0.513683 | 0.492819 | 0.506989 | 0.441091 | 0.144835 | 0.127613 | 0.053983 | 0.05105 | 0.090873 | 0.10064 | 0.362237 | 0.084192 | 0.953013 | 0.689225 | 0.353041 | 0.531602 | 0.603062 | 0.461725 | 0.492136 | 0.503248 | 0.483746 | 0.54755 | 0.358365 | 0.39109 | 0.492927 | 0.495958 | 0.517047 | 0.52383 | 0.434057 | 0.524625 | 0.646807 | 0.499635 | 0.496573 | 1 | training | null | 1 | training |
0.475749 | 0.506123 | 0.492169 | 0.548148 | 0.520068 | 0.504727 | 0.299197 | 0.525278 | 0.366137 | 0.649102 | 0.318457 | 0.588474 | 0.433419 | 0.153145 | 0.144018 | 0.054076 | 0.051056 | 0.093944 | 0.097903 | 0.37365 | 0.085763 | 0.933469 | 0.686984 | 0.353626 | 0.402514 | 0.678927 | 0.593452 | 0.348809 | 0.578977 | 0.354897 | 0.481794 | 0.342624 | 0.47153 | 0.471344 | 0.444857 | 0.731769 | 0.530059 | 0.430476 | 0.46794 | 0.608859 | 0.496081 | 0.501968 | 1 | training | null | 1 | training |
0.45129 | 0.504179 | 0.487213 | 0.552581 | 0.517949 | 0.508554 | 0.499526 | 0.723552 | 0.2196 | 0.801778 | 0.153156 | 0.689569 | 0.473562 | 0.147825 | 0.08653 | 0.055638 | 0.049109 | 0.090876 | 0.11226 | 0.327812 | 0.048004 | 0.912239 | 0.683473 | 0.356707 | 0.581217 | 0.893979 | 0.465858 | 0.25089 | 0.657411 | 0.205632 | 0.584215 | 0.358012 | 0.366946 | 0.423387 | 0.40597 | 0.885231 | 0.429861 | 0.318505 | 0.52987 | 0.625955 | 0.529724 | 0.485016 | 1 | training | null | 1 | training |
0.459958 | 0.506589 | 0.483588 | 0.544717 | 0.518047 | 0.502739 | 0.506984 | 0.766319 | 0.230845 | 0.62375 | 0.372147 | 0.577396 | 0.443083 | 0.149091 | 0.078267 | 0.05296 | 0.05303 | 0.089528 | 0.106977 | 0.322723 | 0.042475 | 0.938304 | 0.6868 | 0.35407 | 0.656792 | 0.848064 | 0.353809 | 0.421591 | 0.563618 | 0.379396 | 0.629414 | 0.393778 | 0.224914 | 0.4918 | 0.461133 | 0.623755 | 0.495322 | 0.435786 | 0.514977 | 0.617925 | 0.504633 | 0.485396 | 1 | training | null | 1 | training |
0.462903 | 0.505698 | 0.488249 | 0.541451 | 0.519358 | 0.49959 | 0.427252 | 0.696637 | 0.235709 | 0.499059 | 0.50856 | 0.497819 | 0.442558 | 0.145135 | 0.110077 | 0.053374 | 0.051824 | 0.091212 | 0.106057 | 0.331522 | 0.047284 | 0.955067 | 0.689558 | 0.352646 | 0.624693 | 0.791617 | 0.398168 | 0.504303 | 0.496814 | 0.497086 | 0.541389 | 0.369607 | 0.317883 | 0.509475 | 0.495385 | 0.50646 | 0.515283 | 0.434428 | 0.513149 | 0.624919 | 0.496662 | 0.499112 | 1 | training | null | 1 | training |
0.464434 | 0.50679 | 0.488867 | 0.54167 | 0.51931 | 0.499435 | 0.419235 | 0.677867 | 0.236966 | 0.502828 | 0.501664 | 0.503005 | 0.439386 | 0.134333 | 0.109938 | 0.054898 | 0.051209 | 0.091558 | 0.105471 | 0.333971 | 0.047744 | 0.954354 | 0.689538 | 0.352828 | 0.603007 | 0.786667 | 0.412117 | 0.500937 | 0.496709 | 0.493163 | 0.524941 | 0.36116 | 0.352101 | 0.491984 | 0.498501 | 0.503411 | 0.523549 | 0.448239 | 0.522388 | 0.640979 | 0.497409 | 0.499737 | 1 | training | null | 1 | training |
0.465233 | 0.507938 | 0.489729 | 0.541541 | 0.519341 | 0.499353 | 0.413891 | 0.678598 | 0.223471 | 0.502193 | 0.503001 | 0.50226 | 0.435702 | 0.122238 | 0.107595 | 0.054739 | 0.051095 | 0.090781 | 0.105386 | 0.334039 | 0.047946 | 0.954369 | 0.689517 | 0.352748 | 0.605011 | 0.789392 | 0.410286 | 0.501463 | 0.495807 | 0.493781 | 0.538847 | 0.359955 | 0.350235 | 0.490099 | 0.497979 | 0.504089 | 0.523151 | 0.443229 | 0.524529 | 0.649139 | 0.493955 | 0.499887 | 1 | training | null | 1 | training |
0.463284 | 0.505024 | 0.489586 | 0.541518 | 0.519359 | 0.499243 | 0.427853 | 0.68211 | 0.225598 | 0.501998 | 0.504361 | 0.504089 | 0.441408 | 0.146664 | 0.11773 | 0.053993 | 0.050391 | 0.091651 | 0.105982 | 0.334438 | 0.04707 | 0.954449 | 0.689504 | 0.35282 | 0.612561 | 0.792941 | 0.427072 | 0.503033 | 0.494819 | 0.494181 | 0.534091 | 0.353741 | 0.351824 | 0.487042 | 0.496506 | 0.502071 | 0.529702 | 0.436703 | 0.521113 | 0.662997 | 0.493574 | 0.498811 | 1 | training | null | 1 | training |
0.463677 | 0.505241 | 0.489427 | 0.541583 | 0.51937 | 0.499411 | 0.420012 | 0.672725 | 0.23299 | 0.502294 | 0.504399 | 0.503265 | 0.451413 | 0.155977 | 0.118614 | 0.054665 | 0.050942 | 0.091524 | 0.103715 | 0.334512 | 0.047563 | 0.9544 | 0.689507 | 0.352713 | 0.604602 | 0.795573 | 0.433453 | 0.503372 | 0.493787 | 0.494653 | 0.555869 | 0.361213 | 0.350137 | 0.490272 | 0.497872 | 0.504974 | 0.526519 | 0.430335 | 0.528667 | 0.642274 | 0.496662 | 0.499389 | 1 | training | null | 1 | training |
0.461936 | 0.505651 | 0.488357 | 0.54146 | 0.519412 | 0.499151 | 0.431965 | 0.695713 | 0.231324 | 0.497292 | 0.508221 | 0.501843 | 0.442127 | 0.145202 | 0.108778 | 0.055037 | 0.051369 | 0.091548 | 0.10559 | 0.330785 | 0.046567 | 0.954975 | 0.689576 | 0.352878 | 0.626802 | 0.792 | 0.392671 | 0.504741 | 0.491288 | 0.497508 | 0.52376 | 0.362839 | 0.332327 | 0.48849 | 0.495737 | 0.498703 | 0.52477 | 0.442788 | 0.528114 | 0.64888 | 0.497592 | 0.499389 | 1 | training | null | 1 | training |
0.457183 | 0.50504 | 0.486901 | 0.538844 | 0.520342 | 0.496767 | 0.487838 | 0.809931 | 0.229577 | 0.409372 | 0.606407 | 0.446047 | 0.454196 | 0.138225 | 0.083861 | 0.054125 | 0.050084 | 0.091323 | 0.10674 | 0.318573 | 0.044391 | 0.967335 | 0.691499 | 0.35188 | 0.698319 | 0.817772 | 0.323365 | 0.566108 | 0.444246 | 0.581477 | 0.533154 | 0.373093 | 0.260107 | 0.502465 | 0.525179 | 0.410688 | 0.517711 | 0.4566 | 0.542117 | 0.670768 | 0.491216 | 0.505757 | 1 | training | null | 1 | training |
0.453561 | 0.507287 | 0.488647 | 0.531353 | 0.520716 | 0.490602 | 0.465899 | 0.784588 | 0.306778 | 0.230626 | 0.820851 | 0.329246 | 0.436254 | 0.124618 | 0.09437 | 0.053059 | 0.052171 | 0.090676 | 0.114611 | 0.328749 | 0.055196 | 0.993599 | 0.695202 | 0.349344 | 0.67136 | 0.734093 | 0.334616 | 0.721948 | 0.346095 | 0.753559 | 0.408381 | 0.394125 | 0.272022 | 0.567362 | 0.574549 | 0.172696 | 0.512231 | 0.428501 | 0.641773 | 0.574278 | 0.478047 | 0.508925 | 1 | training | null | 1 | training |
0.475455 | 0.50917 | 0.490551 | 0.532936 | 0.51849 | 0.492739 | 0.333949 | 0.583821 | 0.369179 | 0.327306 | 0.720499 | 0.392175 | 0.481871 | 0.126864 | 0.138351 | 0.053069 | 0.050498 | 0.091091 | 0.118562 | 0.367496 | 0.080663 | 0.981071 | 0.692793 | 0.351634 | 0.396118 | 0.676585 | 0.547897 | 0.690996 | 0.39862 | 0.667743 | 0.468265 | 0.330788 | 0.461255 | 0.557639 | 0.558581 | 0.223563 | 0.534243 | 0.467712 | 0.532637 | 0.642533 | 0.495035 | 0.499405 | 1 | training | null | 1 | training |
0.472624 | 0.506623 | 0.490223 | 0.540988 | 0.519193 | 0.498703 | 0.301374 | 0.614702 | 0.434592 | 0.493504 | 0.518299 | 0.498485 | 0.432975 | 0.143118 | 0.136911 | 0.055126 | 0.050637 | 0.09112 | 0.10114 | 0.366821 | 0.087031 | 0.955944 | 0.689603 | 0.352911 | 0.502994 | 0.592224 | 0.509199 | 0.513126 | 0.489088 | 0.502372 | 0.563453 | 0.345355 | 0.434594 | 0.484169 | 0.505415 | 0.471257 | 0.533049 | 0.467659 | 0.534297 | 0.639554 | 0.497775 | 0.497142 | 1 | training | null | 1 | training |
0.463751 | 0.505044 | 0.488017 | 0.541621 | 0.519314 | 0.499257 | 0.361118 | 0.679877 | 0.427706 | 0.502043 | 0.504116 | 0.502949 | 0.438459 | 0.147615 | 0.112281 | 0.054652 | 0.050855 | 0.091449 | 0.101111 | 0.352855 | 0.080496 | 0.954519 | 0.689563 | 0.352752 | 0.586086 | 0.614436 | 0.388601 | 0.502052 | 0.494974 | 0.49477 | 0.539088 | 0.369396 | 0.333695 | 0.487858 | 0.496701 | 0.502023 | 0.53189 | 0.445805 | 0.517359 | 0.633208 | 0.495666 | 0.500061 | 1 | training | null | 1 | training |
0.462335 | 0.504394 | 0.491615 | 0.542596 | 0.520785 | 0.498138 | 0.35355 | 0.740453 | 0.435823 | 0.443058 | 0.463913 | 0.523536 | 0.416234 | 0.142951 | 0.119092 | 0.06511 | 0.05039 | 0.091699 | 0.112055 | 0.352402 | 0.079944 | 0.95461 | 0.694106 | 0.34473 | 0.61843 | 0.606608 | 0.471048 | 0.46869 | 0.448118 | 0.530494 | 0.593185 | 0.397636 | 0.370385 | 0.405126 | 0.453923 | 0.495858 | 0.581732 | 0.436544 | 0.537954 | 0.628805 | 0.413932 | 0.585444 | 1 | training | null | 1 | training |
0.462288 | 0.505507 | 0.491376 | 0.545297 | 0.524921 | 0.4954 | 0.319874 | 0.748206 | 0.43695 | 0.279594 | 0.357056 | 0.560319 | 0.39739 | 0.149026 | 0.126665 | 0.090811 | 0.050381 | 0.095654 | 0.122815 | 0.358174 | 0.081786 | 0.953971 | 0.706884 | 0.32136 | 0.661832 | 0.616312 | 0.478847 | 0.373741 | 0.331549 | 0.640714 | 0.504641 | 0.419215 | 0.389682 | 0.194139 | 0.321423 | 0.490443 | 0.609897 | 0.49193 | 0.510069 | 0.592669 | 0.15543 | 0.843528 | 1 | training | null | 1 | training |
0.463834 | 0.503832 | 0.484727 | 0.545229 | 0.52687 | 0.495117 | 0.485778 | 0.542816 | 0.488244 | 0.177842 | 0.329787 | 0.549219 | 0.500729 | 0.138928 | 0.120248 | 0.096584 | 0.055218 | 0.091175 | 0.092522 | 0.351048 | 0.077109 | 0.95388 | 0.713124 | 0.308382 | 0.498686 | 0.669326 | 0.31751 | 0.350383 | 0.28478 | 0.713694 | 0.401876 | 0.380873 | 0.387517 | 0.185232 | 0.258144 | 0.483669 | 0.668244 | 0.500379 | 0.492794 | 0.486595 | 0.008718 | 0.983151 | 1 | training | null | 1 | training |
0.470466 | 0.50226 | 0.485267 | 0.542816 | 0.525641 | 0.496087 | 0.474176 | 0.513055 | 0.506706 | 0.180315 | 0.378605 | 0.514241 | 0.449165 | 0.116349 | 0.108507 | 0.084194 | 0.059479 | 0.0875 | 0.094162 | 0.347313 | 0.083934 | 0.954388 | 0.71214 | 0.307709 | 0.529465 | 0.62558 | 0.283753 | 0.399194 | 0.311403 | 0.727065 | 0.452629 | 0.445995 | 0.345313 | 0.334954 | 0.303755 | 0.456842 | 0.44393 | 0.492389 | 0.514063 | 0.544101 | 0.026569 | 0.969431 | 1 | training | null | 1 | training |
0.471537 | 0.497733 | 0.484241 | 0.540987 | 0.524107 | 0.497149 | 0.477555 | 0.478016 | 0.570666 | 0.179104 | 0.422989 | 0.480375 | 0.457761 | 0.107936 | 0.112947 | 0.070846 | 0.062022 | 0.084362 | 0.089787 | 0.354474 | 0.084647 | 0.954513 | 0.711649 | 0.30645 | 0.49167 | 0.542719 | 0.226822 | 0.442727 | 0.346225 | 0.744482 | 0.504297 | 0.426343 | 0.376835 | 0.455508 | 0.356449 | 0.448408 | 0.519762 | 0.567936 | 0.48163 | 0.541381 | 0.017835 | 0.968857 | 1 | training | null | 1 | training |
0.473876 | 0.499955 | 0.480114 | 0.539924 | 0.522278 | 0.498492 | 0.451449 | 0.45948 | 0.546651 | 0.184946 | 0.467241 | 0.446063 | 0.450214 | 0.113195 | 0.111875 | 0.05811 | 0.061195 | 0.083977 | 0.106321 | 0.355279 | 0.088564 | 0.954631 | 0.711069 | 0.305553 | 0.445225 | 0.561216 | 0.226291 | 0.483413 | 0.379897 | 0.749712 | 0.419184 | 0.42166 | 0.360553 | 0.551112 | 0.43307 | 0.447241 | 0.581231 | 0.547828 | 0.593172 | 0.588654 | 0.020774 | 0.972433 | 1 | training | null | 1 | training |
0.472802 | 0.500846 | 0.482333 | 0.539291 | 0.52031 | 0.499409 | 0.372938 | 0.409951 | 0.57885 | 0.192582 | 0.507995 | 0.411492 | 0.469049 | 0.116468 | 0.115102 | 0.04905 | 0.057276 | 0.08473 | 0.092259 | 0.34953 | 0.087272 | 0.954747 | 0.710574 | 0.304215 | 0.415478 | 0.517863 | 0.260679 | 0.521664 | 0.414471 | 0.753707 | 0.40132 | 0.441626 | 0.324339 | 0.605459 | 0.500718 | 0.466916 | 0.54292 | 0.546734 | 0.59488 | 0.60044 | 0.024062 | 0.981201 | 1 | training | null | 1 | training |
0.473154 | 0.501359 | 0.483826 | 0.539124 | 0.518311 | 0.499979 | 0.396992 | 0.406494 | 0.553598 | 0.203915 | 0.548575 | 0.387197 | 0.5008 | 0.126917 | 0.116697 | 0.040138 | 0.052487 | 0.085466 | 0.096603 | 0.373916 | 0.089867 | 0.955047 | 0.710035 | 0.303879 | 0.405791 | 0.482088 | 0.201845 | 0.555878 | 0.450953 | 0.751473 | 0.42533 | 0.410796 | 0.315684 | 0.643671 | 0.573082 | 0.483746 | 0.546823 | 0.507082 | 0.582922 | 0.530242 | 0.023813 | 0.967801 | 1 | training | null | 1 | training |
0.470443 | 0.500009 | 0.480603 | 0.539502 | 0.516949 | 0.500321 | 0.401089 | 0.308928 | 0.603519 | 0.221658 | 0.585155 | 0.357333 | 0.43578 | 0.106204 | 0.120175 | 0.032323 | 0.044893 | 0.087437 | 0.095884 | 0.36185 | 0.090375 | 0.955302 | 0.709601 | 0.3022 | 0.346456 | 0.470577 | 0.247745 | 0.593925 | 0.484749 | 0.749085 | 0.395997 | 0.397034 | 0.346891 | 0.625134 | 0.648393 | 0.499124 | 0.695312 | 0.434181 | 0.599379 | 0.507706 | 0.026436 | 0.971563 | 1 | training | null | 1 | training |
0.470443 | 0.500009 | 0.480603 | 0.539502 | 0.516949 | 0.500321 | 0.399221 | 0.266673 | 0.632453 | 0.244578 | 0.61625 | 0.334037 | 0.484553 | 0.119052 | 0.115151 | 0.02922 | 0.032487 | 0.089389 | 0.083938 | 0.372802 | 0.102241 | 0.955875 | 0.708828 | 0.302091 | 0.281085 | 0.448595 | 0.242593 | 0.626623 | 0.522592 | 0.736089 | 0.341714 | 0.383116 | 0.373362 | 0.531644 | 0.71759 | 0.513878 | 0.502963 | 0.497786 | 0.536246 | 0.549281 | 0.015311 | 0.981929 | 1 | training | null | 1 | training |
0.470443 | 0.500009 | 0.480603 | 0.539502 | 0.516949 | 0.500321 | 0.405344 | 0.184661 | 0.70884 | 0.293721 | 0.630348 | 0.326475 | 0.490071 | 0.135293 | 0.121911 | 0.031636 | 0.023036 | 0.089919 | 0.102904 | 0.380264 | 0.106908 | 0.955137 | 0.706554 | 0.304333 | 0.216993 | 0.44939 | 0.351515 | 0.642965 | 0.558763 | 0.701905 | 0.442353 | 0.322586 | 0.385811 | 0.433167 | 0.751136 | 0.532077 | 0.493243 | 0.467624 | 0.549287 | 0.590856 | 0.054068 | 0.944723 | 1 | training | null | 1 | training |
0.472166 | 0.507246 | 0.484938 | 0.54157 | 0.516866 | 0.499608 | 0.332564 | 0.15477 | 0.72255 | 0.406653 | 0.573848 | 0.411526 | 0.476082 | 0.1444 | 0.125776 | 0.043677 | 0.034224 | 0.090968 | 0.091117 | 0.38055 | 0.103618 | 0.954699 | 0.697754 | 0.328434 | 0.174993 | 0.381922 | 0.413106 | 0.578187 | 0.535304 | 0.59183 | 0.520043 | 0.283317 | 0.382627 | 0.43843 | 0.636322 | 0.526314 | 0.488202 | 0.423809 | 0.489498 | 0.589043 | 0.267519 | 0.725736 | 1 | training | null | 1 | training |
0.467234 | 0.503313 | 0.486032 | 0.541143 | 0.519184 | 0.499213 | 0.335149 | 0.223643 | 0.719286 | 0.501505 | 0.509134 | 0.511363 | 0.42761 | 0.140116 | 0.113271 | 0.053009 | 0.051409 | 0.089301 | 0.09813 | 0.377532 | 0.102013 | 0.95466 | 0.689595 | 0.35291 | 0.266584 | 0.358948 | 0.335083 | 0.505977 | 0.483406 | 0.494042 | 0.532979 | 0.37158 | 0.328553 | 0.505809 | 0.500069 | 0.492703 | 0.493415 | 0.404159 | 0.542189 | 0.649398 | 0.49467 | 0.503111 | 1 | training | null | 1 | training |
0.468683 | 0.502793 | 0.486432 | 0.541603 | 0.519348 | 0.499407 | 0.327789 | 0.232372 | 0.72261 | 0.501177 | 0.504531 | 0.50033 | 0.436702 | 0.138713 | 0.116249 | 0.054698 | 0.051196 | 0.092013 | 0.09605 | 0.378766 | 0.10283 | 0.954466 | 0.689598 | 0.35268 | 0.278351 | 0.363735 | 0.348821 | 0.502052 | 0.496255 | 0.494524 | 0.524279 | 0.390236 | 0.359969 | 0.490628 | 0.496121 | 0.505599 | 0.520627 | 0.43792 | 0.514592 | 0.633079 | 0.494171 | 0.501315 | 1 | training | null | 1 | training |
0.468356 | 0.502795 | 0.486232 | 0.541592 | 0.519312 | 0.499392 | 0.331351 | 0.228232 | 0.720297 | 0.500814 | 0.505237 | 0.501295 | 0.433957 | 0.139565 | 0.115323 | 0.054524 | 0.051158 | 0.091727 | 0.097187 | 0.37817 | 0.102263 | 0.954523 | 0.689593 | 0.352708 | 0.276869 | 0.362667 | 0.341519 | 0.502052 | 0.495322 | 0.494896 | 0.528706 | 0.390444 | 0.354086 | 0.489272 | 0.496864 | 0.505134 | 0.522541 | 0.421851 | 0.522821 | 0.640073 | 0.497194 | 0.501446 | 1 | training | null | 1 | training |
0.46818 | 0.502827 | 0.486225 | 0.54158 | 0.519333 | 0.499335 | 0.331925 | 0.230213 | 0.720587 | 0.50204 | 0.504531 | 0.501696 | 0.433158 | 0.139305 | 0.114987 | 0.054576 | 0.051209 | 0.091591 | 0.097509 | 0.378477 | 0.102509 | 0.954523 | 0.689537 | 0.352828 | 0.277413 | 0.362431 | 0.34095 | 0.502052 | 0.495012 | 0.494401 | 0.5292 | 0.390861 | 0.353212 | 0.490502 | 0.49682 | 0.503581 | 0.524111 | 0.422098 | 0.528643 | 0.630877 | 0.49814 | 0.499697 | 1 | training | null | 1 | training |
0.46825 | 0.502766 | 0.486169 | 0.541574 | 0.519326 | 0.499328 | 0.332557 | 0.230283 | 0.720658 | 0.502331 | 0.5043 | 0.502791 | 0.433469 | 0.139188 | 0.115189 | 0.054637 | 0.05127 | 0.091524 | 0.097518 | 0.378342 | 0.102614 | 0.954523 | 0.68951 | 0.352792 | 0.277413 | 0.362464 | 0.341443 | 0.503188 | 0.494769 | 0.493727 | 0.528772 | 0.39194 | 0.354246 | 0.491731 | 0.49621 | 0.503015 | 0.521587 | 0.42432 | 0.528403 | 0.632172 | 0.497011 | 0.499389 | 1 | training | null | 1 | training |
0.468351 | 0.502706 | 0.486233 | 0.54157 | 0.519311 | 0.499343 | 0.331827 | 0.229801 | 0.721773 | 0.50201 | 0.504399 | 0.503265 | 0.433223 | 0.139514 | 0.115234 | 0.054578 | 0.051212 | 0.091524 | 0.097788 | 0.378582 | 0.10267 | 0.954523 | 0.689504 | 0.352781 | 0.277413 | 0.362394 | 0.343253 | 0.502461 | 0.495304 | 0.494137 | 0.526884 | 0.39098 | 0.354186 | 0.490984 | 0.494862 | 0.503015 | 0.525456 | 0.425432 | 0.518562 | 0.651729 | 0.499518 | 0.499389 | 1 | training | null | 1 | training |
0.468317 | 0.502813 | 0.486288 | 0.541557 | 0.519339 | 0.499338 | 0.331294 | 0.23022 | 0.721256 | 0.502331 | 0.504469 | 0.503265 | 0.434122 | 0.138866 | 0.115087 | 0.054722 | 0.051223 | 0.091524 | 0.097314 | 0.378284 | 0.102781 | 0.95455 | 0.689508 | 0.352868 | 0.277165 | 0.362986 | 0.341443 | 0.502052 | 0.493849 | 0.494389 | 0.527853 | 0.391721 | 0.355838 | 0.49095 | 0.495945 | 0.503373 | 0.520153 | 0.425979 | 0.523543 | 0.650563 | 0.495184 | 0.499682 | 1 | training | null | 1 | training |
0.468321 | 0.502819 | 0.486242 | 0.541558 | 0.519332 | 0.499318 | 0.331702 | 0.230524 | 0.721193 | 0.502331 | 0.504973 | 0.503265 | 0.433514 | 0.139075 | 0.115545 | 0.054656 | 0.051259 | 0.091524 | 0.097128 | 0.378284 | 0.102664 | 0.954535 | 0.689518 | 0.352828 | 0.277067 | 0.363315 | 0.341165 | 0.501914 | 0.494769 | 0.494156 | 0.52842 | 0.391743 | 0.354403 | 0.49095 | 0.496153 | 0.503015 | 0.523199 | 0.43351 | 0.516613 | 0.645253 | 0.495732 | 0.499389 | 1 | training | null | 1 | training |
0.468328 | 0.502802 | 0.486234 | 0.541566 | 0.519351 | 0.49931 | 0.332058 | 0.22992 | 0.720152 | 0.50214 | 0.504997 | 0.503265 | 0.433638 | 0.139233 | 0.115242 | 0.054656 | 0.051163 | 0.091524 | 0.097427 | 0.378425 | 0.102515 | 0.954537 | 0.689491 | 0.352828 | 0.277322 | 0.363705 | 0.340908 | 0.501894 | 0.494769 | 0.494156 | 0.526726 | 0.391291 | 0.355351 | 0.49095 | 0.496506 | 0.503015 | 0.5218 | 0.427672 | 0.522508 | 0.652506 | 0.496662 | 0.499389 | 1 | training | null | 1 | training |
0.468324 | 0.502782 | 0.486269 | 0.541561 | 0.519333 | 0.499309 | 0.331923 | 0.229011 | 0.719126 | 0.502514 | 0.504493 | 0.503265 | 0.433695 | 0.139274 | 0.115057 | 0.054532 | 0.051191 | 0.091524 | 0.097245 | 0.378387 | 0.102536 | 0.954497 | 0.689499 | 0.352828 | 0.276919 | 0.364037 | 0.341068 | 0.502628 | 0.495198 | 0.494156 | 0.526891 | 0.38927 | 0.354867 | 0.491743 | 0.495202 | 0.503015 | 0.521704 | 0.424567 | 0.525588 | 0.634633 | 0.496662 | 0.499389 | 1 | training | null | 1 | training |
0.468374 | 0.502904 | 0.486191 | 0.54157 | 0.519357 | 0.499313 | 0.332931 | 0.230402 | 0.720122 | 0.501688 | 0.504399 | 0.503265 | 0.43378 | 0.138897 | 0.115167 | 0.054574 | 0.051052 | 0.091524 | 0.097346 | 0.378466 | 0.102491 | 0.954423 | 0.689504 | 0.352828 | 0.277398 | 0.363302 | 0.341801 | 0.503159 | 0.495322 | 0.49443 | 0.5265 | 0.390888 | 0.354695 | 0.492972 | 0.494277 | 0.503015 | 0.521978 | 0.425396 | 0.532998 | 0.64072 | 0.495218 | 0.499389 | 1 | training | null | 1 | training |
0.468325 | 0.50275 | 0.486229 | 0.541584 | 0.519371 | 0.499315 | 0.331712 | 0.228848 | 0.722078 | 0.502271 | 0.504399 | 0.503265 | 0.433556 | 0.13903 | 0.115125 | 0.054656 | 0.051209 | 0.091524 | 0.097101 | 0.378323 | 0.102445 | 0.954467 | 0.6895 | 0.352828 | 0.278185 | 0.362258 | 0.341443 | 0.502491 | 0.494869 | 0.493926 | 0.527144 | 0.391432 | 0.354512 | 0.488904 | 0.496046 | 0.503015 | 0.523919 | 0.429418 | 0.52424 | 0.640979 | 0.497874 | 0.499389 | 1 | training | null | 1 | training |
0.468356 | 0.502715 | 0.486231 | 0.54157 | 0.519364 | 0.499328 | 0.331245 | 0.230254 | 0.72168 | 0.501998 | 0.504399 | 0.503265 | 0.433599 | 0.139084 | 0.115037 | 0.054625 | 0.051209 | 0.091524 | 0.097178 | 0.37834 | 0.102653 | 0.954535 | 0.689482 | 0.352828 | 0.277675 | 0.362873 | 0.34087 | 0.502512 | 0.4949 | 0.494263 | 0.52677 | 0.391244 | 0.353773 | 0.489295 | 0.496506 | 0.503015 | 0.523487 | 0.429683 | 0.522484 | 0.640979 | 0.497791 | 0.499389 | 1 | training | null | 1 | training |
0.468313 | 0.502791 | 0.486219 | 0.54158 | 0.519355 | 0.499319 | 0.331372 | 0.231511 | 0.721089 | 0.501998 | 0.504399 | 0.503265 | 0.433802 | 0.13913 | 0.115197 | 0.054622 | 0.051209 | 0.091524 | 0.097239 | 0.378567 | 0.102289 | 0.954556 | 0.689495 | 0.352828 | 0.277041 | 0.363555 | 0.34082 | 0.502052 | 0.494539 | 0.494108 | 0.526737 | 0.390505 | 0.354526 | 0.489927 | 0.496178 | 0.503015 | 0.521621 | 0.428448 | 0.519982 | 0.640979 | 0.500482 | 0.499389 | 1 | training | null | 1 | training |
0.468262 | 0.502859 | 0.486252 | 0.541587 | 0.519342 | 0.499313 | 0.3312 | 0.231878 | 0.722115 | 0.501998 | 0.504399 | 0.503265 | 0.433986 | 0.138823 | 0.11517 | 0.05453 | 0.051209 | 0.091524 | 0.097112 | 0.37869 | 0.102473 | 0.95453 | 0.689504 | 0.352828 | 0.276943 | 0.363006 | 0.341737 | 0.502637 | 0.495204 | 0.494096 | 0.526375 | 0.390586 | 0.35475 | 0.491536 | 0.493741 | 0.503015 | 0.523768 | 0.428007 | 0.516517 | 0.640979 | 0.497609 | 0.499389 | 1 | training | null | 1 | training |
0.468418 | 0.50286 | 0.486314 | 0.541587 | 0.519326 | 0.499267 | 0.331559 | 0.230458 | 0.721814 | 0.502327 | 0.503985 | 0.503265 | 0.433112 | 0.138957 | 0.115296 | 0.054733 | 0.051209 | 0.091524 | 0.09779 | 0.378288 | 0.102669 | 0.954523 | 0.689504 | 0.352828 | 0.278037 | 0.363861 | 0.341447 | 0.502061 | 0.495322 | 0.493878 | 0.526167 | 0.390936 | 0.353688 | 0.48995 | 0.494806 | 0.503015 | 0.522609 | 0.436315 | 0.518177 | 0.640979 | 0.496662 | 0.499389 | 1 | training | null | 1 | training |
0.468313 | 0.502757 | 0.486188 | 0.541581 | 0.519352 | 0.499337 | 0.332214 | 0.229716 | 0.721335 | 0.501998 | 0.504319 | 0.503265 | 0.433215 | 0.138986 | 0.115531 | 0.054671 | 0.051194 | 0.091524 | 0.097472 | 0.378169 | 0.10265 | 0.95455 | 0.689522 | 0.352828 | 0.277544 | 0.362577 | 0.342495 | 0.502795 | 0.494981 | 0.493929 | 0.527872 | 0.39128 | 0.353665 | 0.490122 | 0.496531 | 0.503015 | 0.521861 | 0.435151 | 0.525034 | 0.643181 | 0.497227 | 0.499389 | 1 | training | null | 1 | training |
0.468296 | 0.502807 | 0.48627 | 0.54156 | 0.519339 | 0.499319 | 0.332118 | 0.230357 | 0.721747 | 0.502129 | 0.504145 | 0.503265 | 0.433349 | 0.139129 | 0.11512 | 0.054704 | 0.05116 | 0.091524 | 0.097351 | 0.378299 | 0.102285 | 0.954536 | 0.689504 | 0.352828 | 0.276783 | 0.362797 | 0.342487 | 0.502503 | 0.495441 | 0.494156 | 0.527458 | 0.391388 | 0.354796 | 0.491352 | 0.494705 | 0.503015 | 0.521608 | 0.435186 | 0.526767 | 0.647973 | 0.497293 | 0.499389 | 1 | training | null | 1 | training |
0.468282 | 0.502826 | 0.486261 | 0.541551 | 0.519339 | 0.499337 | 0.331982 | 0.22999 | 0.721736 | 0.502331 | 0.504399 | 0.503265 | 0.433488 | 0.139214 | 0.11527 | 0.054656 | 0.051257 | 0.091524 | 0.09744 | 0.378257 | 0.102607 | 0.954516 | 0.689504 | 0.352828 | 0.276771 | 0.363522 | 0.342049 | 0.502274 | 0.494769 | 0.494156 | 0.527283 | 0.391085 | 0.355102 | 0.491364 | 0.494384 | 0.503015 | 0.522705 | 0.433281 | 0.522941 | 0.640979 | 0.495467 | 0.499389 | 1 | training | null | 1 | training |
0.468274 | 0.502851 | 0.486248 | 0.541551 | 0.519339 | 0.499319 | 0.332902 | 0.229842 | 0.72161 | 0.502331 | 0.504065 | 0.503265 | 0.433895 | 0.13913 | 0.114968 | 0.054656 | 0.051225 | 0.091524 | 0.097322 | 0.378358 | 0.102755 | 0.954543 | 0.689504 | 0.352828 | 0.277877 | 0.363282 | 0.341144 | 0.503906 | 0.495652 | 0.494156 | 0.528311 | 0.390791 | 0.353985 | 0.491766 | 0.495492 | 0.503015 | 0.521251 | 0.423262 | 0.522051 | 0.650175 | 0.494304 | 0.499389 | 1 | training | null | 1 | training |
0.468376 | 0.502844 | 0.486205 | 0.54157 | 0.519358 | 0.499282 | 0.33272 | 0.229779 | 0.721476 | 0.501998 | 0.504399 | 0.503265 | 0.434351 | 0.138959 | 0.11517 | 0.054656 | 0.051209 | 0.091524 | 0.0975 | 0.378531 | 0.10255 | 0.954523 | 0.689504 | 0.352828 | 0.278685 | 0.363282 | 0.341068 | 0.502052 | 0.494769 | 0.494156 | 0.526167 | 0.390197 | 0.355205 | 0.492995 | 0.495945 | 0.503015 | 0.523199 | 0.427002 | 0.520343 | 0.652506 | 0.496662 | 0.499389 | 1 | training | null | 1 | training |
0.468265 | 0.502844 | 0.486252 | 0.54157 | 0.519342 | 0.499282 | 0.330871 | 0.229779 | 0.721476 | 0.502331 | 0.504399 | 0.503265 | 0.433783 | 0.139313 | 0.115361 | 0.054656 | 0.051209 | 0.091524 | 0.097351 | 0.378345 | 0.10249 | 0.954523 | 0.689504 | 0.352828 | 0.277837 | 0.362394 | 0.340319 | 0.502795 | 0.494769 | 0.494156 | 0.529423 | 0.390938 | 0.35495 | 0.491973 | 0.495945 | 0.503015 | 0.520757 | 0.428571 | 0.511777 | 0.652506 | 0.495184 | 0.499389 | 2 | training | null | 2 | training |
0.46827 | 0.502786 | 0.486255 | 0.541546 | 0.51933 | 0.499301 | 0.331871 | 0.230001 | 0.721773 | 0.502181 | 0.504399 | 0.503265 | 0.434186 | 0.138936 | 0.115022 | 0.054514 | 0.051191 | 0.091524 | 0.097037 | 0.378263 | 0.102591 | 0.954523 | 0.689487 | 0.352828 | 0.276967 | 0.363482 | 0.340992 | 0.502507 | 0.494465 | 0.494156 | 0.528486 | 0.391155 | 0.355517 | 0.489134 | 0.495945 | 0.503015 | 0.523947 | 0.42649 | 0.516806 | 0.667789 | 0.496662 | 0.499389 | 2 | training | null | 2 | training |
0.468297 | 0.502819 | 0.486253 | 0.541551 | 0.519306 | 0.499464 | 0.331749 | 0.230472 | 0.721312 | 0.501666 | 0.504587 | 0.503265 | 0.433806 | 0.139133 | 0.115256 | 0.054612 | 0.051165 | 0.091524 | 0.097213 | 0.378379 | 0.102677 | 0.954523 | 0.689504 | 0.352828 | 0.277815 | 0.36417 | 0.342306 | 0.502461 | 0.495074 | 0.494156 | 0.528285 | 0.390419 | 0.355142 | 0.490387 | 0.495945 | 0.503015 | 0.523597 | 0.430141 | 0.524842 | 0.635798 | 0.496662 | 0.499389 | 2 | training | null | 2 | training |
0.468324 | 0.502802 | 0.486246 | 0.541587 | 0.519263 | 0.499649 | 0.332258 | 0.231222 | 0.720829 | 0.50189 | 0.504535 | 0.503265 | 0.433632 | 0.139029 | 0.115275 | 0.054656 | 0.051209 | 0.091524 | 0.0975 | 0.378262 | 0.102448 | 0.954523 | 0.689504 | 0.352828 | 0.27762 | 0.36457 | 0.342583 | 0.502553 | 0.494769 | 0.494156 | 0.526273 | 0.390192 | 0.354097 | 0.49095 | 0.495945 | 0.503015 | 0.520942 | 0.436491 | 0.513822 | 0.637223 | 0.498655 | 0.499389 | 2 | training | null | 2 | training |
0.468331 | 0.502852 | 0.486252 | 0.541587 | 0.519263 | 0.499649 | 0.331426 | 0.230869 | 0.722666 | 0.502297 | 0.504399 | 0.503265 | 0.433669 | 0.138705 | 0.11512 | 0.054656 | 0.051209 | 0.091524 | 0.097433 | 0.378444 | 0.102586 | 0.954523 | 0.689524 | 0.352828 | 0.277222 | 0.364763 | 0.341969 | 0.502127 | 0.494769 | 0.494156 | 0.527923 | 0.39106 | 0.354847 | 0.49095 | 0.495945 | 0.503015 | 0.521793 | 0.429683 | 0.528884 | 0.630618 | 0.496961 | 0.499389 | 2 | training | null | 2 | training |
0.467592 | 0.503008 | 0.486321 | 0.541587 | 0.519263 | 0.499649 | 0.330496 | 0.239001 | 0.684391 | 0.50204 | 0.504399 | 0.503265 | 0.426803 | 0.131835 | 0.111483 | 0.054515 | 0.05135 | 0.091726 | 0.100782 | 0.378199 | 0.103146 | 0.954556 | 0.689521 | 0.352581 | 0.25928 | 0.377594 | 0.33994 | 0.501727 | 0.494769 | 0.494156 | 0.524491 | 0.395238 | 0.349112 | 0.49095 | 0.495945 | 0.503015 | 0.498203 | 0.430141 | 0.506147 | 0.651081 | 0.49648 | 0.499389 | 2 | training | null | 2 | training |
0.468215 | 0.502796 | 0.486213 | 0.541587 | 0.519263 | 0.499649 | 0.330369 | 0.229898 | 0.721346 | 0.502331 | 0.504399 | 0.503265 | 0.432554 | 0.139227 | 0.115107 | 0.054628 | 0.051209 | 0.091497 | 0.097387 | 0.378359 | 0.102649 | 0.954544 | 0.689474 | 0.352845 | 0.276557 | 0.362021 | 0.342828 | 0.502052 | 0.494769 | 0.494156 | 0.529565 | 0.390433 | 0.354252 | 0.49095 | 0.495945 | 0.503015 | 0.523569 | 0.427954 | 0.516252 | 0.640979 | 0.495699 | 0.499389 | 2 | training | null | 2 | training |
0.468274 | 0.502758 | 0.486238 | 0.541587 | 0.519263 | 0.499649 | 0.331894 | 0.231467 | 0.720673 | 0.502331 | 0.504399 | 0.503265 | 0.433507 | 0.139069 | 0.114997 | 0.054667 | 0.051209 | 0.091491 | 0.097531 | 0.378468 | 0.10261 | 0.954561 | 0.689511 | 0.352848 | 0.277498 | 0.362816 | 0.342028 | 0.502052 | 0.494769 | 0.494156 | 0.527879 | 0.390375 | 0.354297 | 0.49095 | 0.495945 | 0.503015 | 0.523028 | 0.42746 | 0.520944 | 0.640979 | 0.495815 | 0.499389 | 2 | training | null | 2 | training |
0.46947 | 0.5047 | 0.486858 | 0.541561 | 0.51949 | 0.499941 | 0.315564 | 0.216937 | 0.72055 | 0.506574 | 0.500388 | 0.507672 | 0.449322 | 0.144322 | 0.120092 | 0.054672 | 0.053002 | 0.09275 | 0.096148 | 0.379775 | 0.103043 | 0.954509 | 0.689064 | 0.354445 | 0.259221 | 0.368359 | 0.373941 | 0.498791 | 0.494769 | 0.488787 | 0.53071 | 0.363889 | 0.35617 | 0.500741 | 0.485663 | 0.507825 | 0.495562 | 0.428889 | 0.526743 | 0.650175 | 0.509332 | 0.48956 | 2 | training | null | 2 | training |
0.469856 | 0.506384 | 0.487155 | 0.541468 | 0.52014 | 0.499661 | 0.309176 | 0.191557 | 0.720416 | 0.522244 | 0.488682 | 0.521702 | 0.456407 | 0.142147 | 0.123608 | 0.05781 | 0.055016 | 0.091531 | 0.093339 | 0.378638 | 0.102617 | 0.954343 | 0.687679 | 0.358226 | 0.234692 | 0.376449 | 0.393021 | 0.482645 | 0.487242 | 0.474093 | 0.489078 | 0.332917 | 0.386899 | 0.50335 | 0.462612 | 0.502018 | 0.457395 | 0.436862 | 0.523952 | 0.641756 | 0.53992 | 0.452675 | 2 | training | null | 2 | training |
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