polynomial_kernel_svm.py

# Loading the one_circle dataset
# ploy_svm.csv: https://gist.github.com/sithu/1a3c2dfbca74540fb2ee5a1aca1c4a0f
circular_data = pd.read_csv('poly_svm.csv')
features = np.array(circular_data[['x_1', 'x_2']])
labels = np.array(circular_data['y'])
utils.plot_points(features, labels)

# TODO: Degree = 2 vs Degree = 4
# Which one gives better accuracy?
svm_degree_2 = SVC(kernel='poly', degree=2)
svm_degree_2.fit(features, labels)
print("Polynomial kernel of degree = 2")
print("Accuracy:", svm_degree_2.score(features, labels))
utils.plot_model(features, labels, svm_degree_2)