| Logging training | |
| Running DummyRegressor() | |
| r2: -0.001 neg_mean_squared_error: -7523.699 | |
| === new best DummyRegressor() (using r2): | |
| r2: -0.001 neg_mean_squared_error: -7523.699 | |
| Running DecisionTreeRegressor(max_depth=1) | |
| r2: 0.800 neg_mean_squared_error: -1504.400 | |
| === new best DecisionTreeRegressor(max_depth=1) (using r2): | |
| r2: 0.800 neg_mean_squared_error: -1504.400 | |
| Running DecisionTreeRegressor(max_depth=5) | |
| r2: 0.999 neg_mean_squared_error: -6.230 | |
| === new best DecisionTreeRegressor(max_depth=5) (using r2): | |
| r2: 0.999 neg_mean_squared_error: -6.230 | |
| Running Ridge(alpha=10) | |
| r2: 1.000 neg_mean_squared_error: -1.068 | |
| === new best Ridge(alpha=10) (using r2): | |
| r2: 1.000 neg_mean_squared_error: -1.068 | |
| Running Lasso(alpha=10) | |
| r2: 0.986 neg_mean_squared_error: -101.572 | |
| Best model: | |
| Ridge(alpha=10) | |
| Best Scores: | |
| r2: 1.000 neg_mean_squared_error: -1.068 | |