Δ | # | Participants | F1 Score | Accuracy | Entries | Last Submission | Submission Trend | |
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01 |
|
0.000 | 0.730 | 26 |
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01 | NOCIID | 0.000 | 0.730 | 7 |
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01 | david_brantschen | 0.000 | 0.730 | 20 |
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04 |
|
0.035 | 0.714 | 3 |
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05 |
|
0.097 | 0.708 | 12 |
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06 |
|
0.195 | 0.649 | 3 |
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07 |
|
0.209 | 0.624 | 6 |
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08 | theoverfitXderr | 0.212 | 0.626 | 5 |
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09 |
|
0.215 | 0.650 | 2 |
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10 |
|
0.225 | 0.626 | 16 |
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10 |
|
0.225 | 0.626 | 3 |
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12 | gtn28 | 0.226 | 0.617 | 6 |
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13 |
|
0.238 | 0.593 | 4 |
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14 | 123ledsz | 0.257 | 0.628 | 6 |
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15 | antoinetf | 0.277 | 0.568 | 3 |
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16 | melkerbild | 0.322 | 0.731 | 12 |
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17 |
|
0.341 | 0.512 | 2 |
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18 | julien123 | 0.426 | 0.272 | 2 |
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19 | adriboschung | 0.465 | 0.383 | 8 |
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20 |
|
0.635 | 0.808 | 6 |
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21 | ericoldgren | 0.653 | 0.802 | 1 |
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22 | yanis_seddik | 0.664 | 0.771 | 24 |
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23 | arnaudlvq | 0.695 | 0.848 | 4 |
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24 | fengxunling | 0.761 | 0.879 | 5 |
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25 | yassine_abdennadher | 0.779 | 0.890 | 1 |
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26 | Mverest | 0.801 | 0.881 | 13 |
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27 | mathis_le_dortz1 | 0.807 | 0.903 | 1 |
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28 | yuekaiyan | 0.808 | 0.908 | 1 |
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29 | yassineabdennadher | 0.810 | 0.900 | 1 |
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30 | staehliarn | 0.811 | 0.908 | 7 |
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31 |
|
0.831 | 0.904 | 20 |
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32 | BenQ01 | 0.854 | 0.922 | 2 |
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33 | dtouro | 0.902 | 0.947 | 1 |
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34 | acivelekoglu | 0.907 | 0.950 | 2 |
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