Table 2.
The structure of stacked ensemble with the coefficients of GLM with Elastic Net as a “metalearner” model (39 inputs).
| Name | Coefficients |
|---|---|
| Intercept | −1.0046 |
| GBM_grid__1_AutoML_20210902_051708_model_54 | 0.6633 |
| GBM_grid__1_AutoML_20210902_051708_model_20 | 0.1599 |
| DeepLearning_grid__3_AutoML_20210902_051708_model_3 | 0.1089 |
| XGBoost_grid__1_AutoML_20210902_051708_model_120 | 0.0848 |
| DeepLearning_grid__3_AutoML_20210902_051708_model_8 | 0.0295 |
| DeepLearning_grid__2_AutoML_20210902_051708_model_2 | 0.0263 |
| DeepLearning_grid__3_AutoML_20210902_051708_model_2 | 0.0187 |
| DeepLearning_grid__3_AutoML_20210902_051708_model_5 | 0.0058 |
| XGBoost_grid__1_AutoML_20210902_051708_model_52 | 0.0066 |
| DeepLearning_grid__2_AutoML_20210902_051708_model_3 | 0.0074 |
| XGBoost_grid__1_AutoML_20210902_051708_model_95 | 0.0058 |
| XGBoost_grid__1_AutoML_20210902_051708_model_131 | 0.0058 |
| XGBoost_grid__1_AutoML_20210902_051708_model_90 | 0.0037 |
| XGBoost_grid__1_AutoML_20210902_051708_model_113 | 0.0026 |
| DeepLearning_grid__2_AutoML_20210902_051708_model_8 | 0.0025 |
| XGBoost_grid__1_AutoML_20210902_051708_model_30 | 0.0026 |
| GBM_grid__1_AutoML_20210902_044957_model_20 | 0.0005 |