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# Remove the 'id' column as it's not necessary for analysis # Splitting the data into features (X) and the target variable (y) y = df['diagnosis'] # Target variable: diagnosis result X = df.drop('diagnosis', axis=1) # Feature matrix: all data except the diagnosis # Encoding string labels in 'y'