| # Configuration file for model parameters and preprocessing settings | |
| class Config: | |
| # Data Preprocessing Settings | |
| missing_value_strategy = "mean" # Options: 'mean', 'median', 'drop' | |
| # Model Settings | |
| model_type = "random_forest" # Options: 'logistic_regression', 'random_forest' | |
| random_forest_n_estimators = 100 | |
| # Augmentation Settings | |
| noise_level = 0.01 # For noise augmentation | |
| polynomial_degree = 2 # For polynomial feature augmentation | |
| # Data Sampling Settings | |
| target_column = "target" # Name of the target column for resampling | |
| oversample = True # Whether to apply oversampling | |
| # Example of using the config: | |
| # config = Config() | |
| # print(config.model_type) |