Table 1. Search for the best regressor algorithm for training.
Model | Regressor | r2 |
---|---|---|
1 | LinearRegression | 0.7706 |
2 | Ridge | 0.7823 |
3 | Lasso | 0.1625 |
4 | ElasticNet | 0.7556 |
5 | BayesianRidge | 0.7685 |
6 | SGDRegressor | 0.7542 |
7 | KNearestNeighborRegressor | 0.5791 |
8 | SVR | 0.9141 |
9 | NuSVR | 0.9103 |
10 | LinearSVR | 0.7275 |
11 | DecisionTreeRegressor | 1.0 |
12 | RandomForestRegressor | 0.9112 |
13 | MLPRegressor | 0.9405 |