Random Forest Regressor |
0.035 |
0.761 |
51.3 |
380700.0 |
0.239 |
76.1 |
Extra Trees Regressor |
0.035 |
0.757 |
50.9 |
378700.0 |
0.243 |
75.7 |
Extreme Gradient Boosting |
0.037 |
0.739 |
48.9 |
369350.0 |
0.262 |
73.9 |
K Neighbors Regressor |
0.038 |
0.725 |
47.7 |
362450.0 |
0.275 |
72.5 |
Light Gradient Boosting Machine |
0.038 |
0.715 |
46.7 |
357750.0 |
0.285 |
71.5 |
Decision Tree Regressor |
0.048 |
0.546 |
32.8 |
273000.0 |
0.454 |
54.6 |
Gradient Boosting Regressor |
0.052 |
0.469 |
27.3 |
234600.0 |
0.531 |
46.9 |
Linear Regression |
0.069 |
0.074 |
3.9 |
36950.0 |
0.926 |
7.4 |
Least Angle Regression |
0.069 |
0.074 |
3.9 |
36950.0 |
0.926 |
7.4 |
Bayesian Ridge |
0.069 |
0.074 |
3.9 |
36900.0 |
0.926 |
7.4 |
Ridge Regression |
0.069 |
0.068 |
3.7 |
34150.0 |
0.932 |
6.8 |
Huber Regressor |
0.070 |
0.062 |
3.2 |
31000.0 |
0.938 |
6.2 |
Orthogonal Matching Pursuit |
0.072 |
0.000 |
0.2 |
50.0 |
1.000 |
0.0 |
Lasso Regression |
0.072 |
−0.001 |
0.2 |
−150.0 |
1.001 |
0.0 |
Elastic Net |
0.072 |
−0.001 |
0.2 |
−150.0 |
1.001 |
0.0 |
Lasso Least Angle Regression |
0.072 |
−0.001 |
0.2 |
−150.0 |
1.001 |
0.0 |
Dummy Regressor |
0.072 |
−0.001 |
0.2 |
−150.0 |
1.001 |
0.0 |
AdaBoost Regressor |
0.073 |
−0.021 |
−0.9 |
−10450.0 |
1.021 |
−2.1 |
Passive Aggressive Regressor |
0.086 |
−0.485 |
−20.0 |
−242550.0 |
1.485 |
−48.5 |
sin+cos annual function (baseline) |
0.072 |
0.000 |
- |
- |
1.000 |
|
sin+cos semiannual function |
0.095 |
0.000 |
−32.7 |
0.0 |
1.000 |
0.0 |