| Gradient Boosting Regressor | 2.2775 | 9.8743 | 3.0921 | 0.8383 | 0.1197 | 0.0980 | 0.681 | 
    
      | Extra Trees Regressor | 2.2119 | 10.2477 | 3.1304 | 0.8323 | 0.1220 | 0.0949 | 2.212 | 
    
      | Light Gradient Boosting Machine | 2.3218 | 10.4931 | 3.1818 | 0.8282 | 0.1252 | 0.1011 | 0.263 | 
    
      | CatBoost Regressor | 2.3204 | 10.5063 | 3.1906 | 0.8270 | 0.1256 | 0.1011 | 8.883 | 
    
      | Random Forest Regressor | 2.3161 | 11.0170 | 3.2515 | 0.8210 | 0.1252 | 0.0990 | 1.916 | 
    
      | Extreme Gradient Boosting | 2.4277 | 11.9887 | 3.3949 | 0.8045 | 0.1336 | 0.1057 | 0.497 | 
    
      | Elastic Net | 2.6119 | 12.1337 | 3.4462 | 0.8029 | 0.1426 | 0.1168 | 0.116 | 
    
      | Lasso Regression | 2.6238 | 12.2869 | 3.4649 | 0.8011 | 0.1438 | 0.1172 | 0.134 | 
    
      | Lasso Least Angle Regression | 2.6238 | 12.2868 | 3.4649 | 0.8011 | 0.1438 | 0.1172 | 0.157 | 
    
      | AdaBoost Regressor | 2.5949 | 12.5846 | 3.4968 | 0.7939 | 0.1378 | 0.1153 | 2.469 | 
    
      | Bayesian Ridge | 2.6494 | 12.5149 | 3.5121 | 0.7920 | 0.1433 | 0.1194 | 0.268 | 
    
      | Ridge Regression | 2.6852 | 12.7684 | 3.5480 | 0.7872 | 0.1448 | 0.1212 | 0.108 | 
    
      | Linear Regression | 2.6893 | 12.7997 | 3.5523 | 0.7866 | 0.1450 | 0.1214 | 0.122 | 
    
      | Least Angle Regression | 2.7583 | 13.3766 | 3.6327 | 0.7759 | 0.1489 | 0.1249 | 0.165 | 
    
      | Huber Regressor | 2.6780 | 14.2077 | 3.7197 | 0.7699 | 0.1404 | 0.1138 | 1.508 | 
    
      | Decision Tree Regressor | 2.6552 | 15.5784 | 3.8636 | 0.7507 | 0.1470 | 0.1108 | 0.253 | 
    
      | Orthogonal Matching Pursuit | 3.3731 | 20.2491 | 4.4464 | 0.6709 | 0.1767 | 0.1475 | 0.418 | 
    
      | K Neighbors Regressor | 3.4315 | 21.1052 | 4.5405 | 0.6546 | 0.1692 | 0.1448 | 0.858 | 
    
      | Dummy Regressor | 6.6547 | 62.8366 | 7.8973 | -0.0391 | 0.3303 | 0.3219 | 0.129 | 
    
      | Passive Aggressive Regressor | 7.5227 | 84.7568 | 9.0993 | -0.4762 | 0.4067 | 0.3652 | 0.420 |