Quantum Computing, Quantum Algorithms, Quantum Machine Learning, Code, Artificial Intelligence.
y_test = train_test_split(X, y, test_size=0.25, random_state=42) # Scale the features to have mean=0 and variance=1 scaler = StandardScaler() X_train_scaled = scaler.fit_transform(X_train) X_test_scaled = scaler.transform(X_test) # Train a Support Vector Classifier clf = SVC(kernel='linear', C=1)