Data Science, Machine Learning, Algorithms, Support Vector Machine, Supervised Learning.
the SVM model with 2nd degree polynomial kernel. from sklearn.metrics import accuracy_score predictions_poly = model.predict(x_test) accuracy_poly = accuracy_score(y_test, predictions_poly) print("2nd degree polynomial Kernel\nAccuracy (normalized): " + str(accuracy_poly)) The accuracy is good, but