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# 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) |