Δ | # | Participants | Accuracy | F-1 score | Entries | Last Submission | Submission Trend | |
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01 |
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0.912 | 0.914 | 34 |
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02 |
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0.908 | 0.909 | 48 |
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03 |
|
0.906 | 0.905 | 42 |
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04 |
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0.905 | 0.906 | 51 |
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05 |
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0.904 | 0.905 | 37 |
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06 |
|
0.902 | 0.901 | 35 |
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07 |
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0.898 | 0.898 | 24 |
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08 |
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0.897 | 0.898 | 9 |
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09 |
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0.895 | 0.896 | 11 |
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10 |
|
0.893 | 0.891 | 16 |
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11 |
|
0.886 | 0.888 | 32 |
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12 |
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0.886 | 0.885 | 21 |
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13 | gupta.prkhr | 0.885 | 0.885 | 1 |
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14 | ng | 0.883 | 0.883 | 11 |
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14 |
|
0.883 | 0.883 | 42 |
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16 |
|
0.882 | 0.882 | 17 |
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17 |
|
0.879 | 0.881 | 15 |
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18 | Katrina | 0.879 | 0.880 | 3 |
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18 |
|
0.879 | 0.880 | 12 |
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20 |
|
0.878 | 0.880 | 10 |
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21 | gaspardfeuvray | 0.873 | 0.876 | 1 |
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22 |
|
0.872 | 0.875 | 11 |
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23 | DS_DS | 0.868 | 0.869 | 3 |
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24 | cetsen | 0.865 | 0.868 | 5 |
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25 | sarahuate | 0.864 | 0.866 | 4 |
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26 | best_machine_learning_programmer_of_any_times | 0.863 | 0.866 | 25 |
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27 | Philip | 0.860 | 0.864 | 10 |
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28 |
|
0.859 | 0.862 | 66 |
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29 |
|
0.859 | 0.861 | 2 |
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29 |
|
0.859 | 0.861 | 6 |
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31 |
|
0.857 | 0.862 | 7 |
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31 |
|
0.857 | 0.862 | 22 |
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33 | seifbemus | 0.857 | 0.859 | 9 |
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33 |
|
0.857 | 0.859 | 10 |
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35 | lashaniqueb08 | 0.854 | 0.857 | 8 |
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36 | banoo | 0.846 | 0.849 | 8 |
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37 | mlmlmlmlmlml | 0.840 | 0.843 | 6 |
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38 | MLKAHAW | 0.838 | 0.845 | 4 |
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39 | benjamin_chapoulie | 0.804 | 0.807 | 2 |
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40 | kylian_m | 0.800 | 0.806 | 5 |
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41 | renzov | 0.779 | 0.786 | 8 |
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42 | pchang | 0.753 | 0.761 | 2 |
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43 | Unknown User | 0.741 | 0.738 | 1 | View | |||
44 |
|
0.651 | 0.698 | 2 |
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45 | zrouga | 0.634 | 0.664 | 7 |
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46 | rogerFbb | 0.504 | 0.505 | 2 |
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47 | akshatcx | 0.491 | 0.492 | 1 |
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