Notebook
svc = SVC() gammas = [1e-7, 3e-7, 1e-6, 3e-6, 1e-5, 3e-5, 1e-4, 3e-4, 1e-3, 3e-3, 1e-2, ] for gamma in gammas: svc.set_params(gamma = gamma) scores = cross_val_score(svc, train_lsa_X, train_y, cv = 5) print gamma, np.mean(scores), np.std(scores)svc = SVC() svc.fit(train_lsa_X, train_y) print svc.score(test_lsa_X, test_y)