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‘Pipeline’ object has no attribute ‘_check_fit_params’

from imblearn.over_sampling import SMOTE from imblearn.under_sampling import RandomUnderSampler from imblearn.pipeline import Pipeline # Define features and target X = df.drop(‘infected’, axis=1) y = df[‘infected’] # Split the data into training and testing sets X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42) # Define the resampling strategy over = SMOTE(sampling_strategy=0.5) # Oversample the minority class […]