Data Science Course IFT6758

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Evaluation 5

Date: November 4, 2019

Numbers marked in bold are the best score of the task for this evaluation compared to other teams and the baseline.

  Age (ACC) Gender (ACC) OPN (RMSE) NEU (RMSE) EXT (RMSE) AGR (RMSE) CON (RMSE) Full Grade Rank 🏆
Baseline 0.594 0.591 0.652 0.798 0.788 0.665 0.734 -  
User01 0.658 0.812 0.640 0.788 0.780 0.652 0.711 1
User02 0.644 0.847 0.651 0.798 0.788 0.662 0.730 2
User04 0.594 0.781 0.652 0.798 0.788 0.665 0.734 18
User05 0.594 0.671 0.650 0.797 0.787 0.661 0.728 17
User06 0.602 0.833 1.274 1.039 0.917 0.693 0.741 7
User07 0.594 0.510 0.652 0.798 0.788 0.665 0.734 - 22
User08 0.594 0.783 0.653 0.799 0.793 0.663 0.728 8
User09 0.594 0.810 0.652 0.798 0.788 0.665 0.734 11
User11 0.594 0.810 0.652 0.798 0.788 0.665 0.734 11
User12 0.454 0.811 0.652 0.798 0.788 0.665 0.734 10
User13 0.608 0.827 0.642 0.798 0.793 0.655 0.718 4
User14 0.547 0.529 0.711 1.196 0.790 0.685 0.952 - 24
User15 0.586 0.810 0.651 0.794 0.787 0.664 0.726 5
User16 0.594 0.797 0.640 0.792 0.781 0.653 0.712 6
User17 0.0 0.807 3.957 2.828 3.606 3.675 3.525 15
User18 0.594 0.779 0.652 0.798 0.788 0.665 0.734 16
User21 0.594 0.835 0.685 0.804 0.811 0.708 0.747 9
User22 0.594 0.809 0.652 0.798 0.788 0.665 0.734 13
User23 0.506 0.758 0.652 0.793 0.788 0.659 0.722 19
User25 0.594 0.591 0.647 1.109 0.791 0.653 1.049 20
User26 0.654 0.807 0.648 0.796 0.794 0.652 0.713 3
User27 0.594 0.810 0.966 0.973 0.987 1.179 0.770 12
User28 0.594 0.591 0.652 0.798 0.788 0.665 0.734 - 21
User29 0.578 0.243 0.652 0.798 0.788 0.665 0.734 - 23
User30 0.594 0.807 0.652 0.798 0.788 0.665 0.734 14