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the dataset into features (X) and target label (y) y = df['diagnosis'] # Target label: diagnosis X = df.drop('diagnosis', axis=1) # Features: all other columns # Convert the diagnosis string labels into numeric values to be used by machine learning models label_encoder = LabelEncoder() y =