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 |