c in svm code example
Example: best value of c in linear svm
np.random.seed(222)
# train dataset
X, y = make_classification(
n_samples=10000,
n_features=10,
n_informative=10,
n_redundant=0,
weights=[0.3,0.7],
class_sep=0.7,
flip_y=0.35) # the default value for flip_y is 0.01, or 1%
X_train, _ , y_train, _ = train_test_split(X, y, test_size=0.25)
np.random.seed(222)
# test dataset
X, y = make_classification(
n_samples=10000,
n_features=10,
n_informative=10,
n_redundant=0,
weights=[0.3,0.7],
class_sep=0.7,
flip_y=0.0)
_, X_test , _ , y_test = train_test_split(X, y, test_size=0.25)