Artificial Intelligence, Data Science, Machine Learning, Technology, Algorithms.
808}) # Create an instance of SMOTE smote = SMOTE() # Apply SMOTE to the training data X_train_oversampled, y_train_oversampled = smote.fit_resample(X_train, y_train) # Print the class distribution after oversampling print("After oversampling:", Counter(y_train_oversampled)) # After oversampling: