from sklearn.datasets import load_breast_cancer
from sklearn.model_selection import train_test_split
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import StandardScaler
from sklearn.svm import SVC


data = load_breast_cancer()
X_train, X_test, y_train, y_test = train_test_split(
    data.data,
    data.target,
    test_size=0.25,
    stratify=data.target,
    random_state=42,
)