Data Science Course IFT6758

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Evaluation 8

Date: November 25, 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 0.669 0.811 0.614 0.775 0.767 0.649 0.707  
User02 0.645 0.861 0.651 0.798 0.788 0.662 0.730    
User04 0.594 0.787 0.665 0.811 0.805 0.672 0.750    
User05 0.660 0.849 0.624 0.773 0.767 0.647 0.705  
User06 0.600 0.832 0.652 0.798 0.788 0.665 0.734    
User07 0.196 0.800 0.646 0.795 0.787 0.657 0.721    
User08 - - - - - - - - -
User09 - - - - - - - - -
User11 - - - - - - - - -
User12 0.0 0.811 0.638 0.788 0.780 0.650 0.712    
User13 0.621 0.687 0.639 0.790 0.780 0.651 0.713  
User14 0.534 0.795 0.662 0.799 0.787 0.670 0.737    
User15 0.595 0.880 0.651 0.794 0.787 0.664 0.726  
User16 0.607 0.508 0.639 0.792 0.781 0.652 0.711    
User17 0.594 0.806 0.652 0.798 0.788 0.665 0.734    
User18 0.591 0.800 0.650 0.795 0.795 0.661 0.730    
User21 0.676 0.835 0.687 0.815 0.800 0.675 0.747    
User22 0.656 0.809 0.651 0.794 0.783 0.657 0.722  
User23 0.601 0.758 0.652 0.793 0.788 0.659 0.722    
User25 0.154 0.881 0.640 0.789 0.785 0.648 0.721    
User26 0.654 0.807 0.637 0.786 0.780 0.650 0.710  
User27 0.637 0.743 0.637 0.793 0.781 0.656 0.719  
User28 0.621 0.752 0.646 0.793 0.784 0.655 0.720  
User29 0.597 0.807 0.643 0.798 0.789 0.650 0.724    
User30 0.594 0.807 0.653 0.798 0.790 0.663 0.726