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into numerical form for machine learning models label_encoder = LabelEncoder() y = label_encoder.fit_transform(y) # Transform labels to numeric # Quantum feature map and circuit configuration feature_dimension = 2 # Dimensionality for the feature map (matches PCA reduction later) reps = 2 # Number