Quantum Computing, Quantum Algorithms, Quantum Machine Learning, Code, Artificial Intelligence.
clf.fit(X_train_scaled, y_train) # Extract the coefficients for the decision boundary coef = clf.coef_[0] intercept = clf.intercept_ # Calculate the decision boundary x_plot = np.linspace(X_train_scaled[:, 0].min(), X_train_scaled[:, 0].max(), 100) y_plot = -(coef[0] * x_plot + intercept) / coef[1]