import numpy as np
from sklearn.svm import SVC
from sklearn.model_selection import train_test_split
from sklearn import datasets
from sklearn import metrics

cancer = datasets.load_breast_cancer()

x = cancer.data
y = cancer.target

x_train, x_test, y_train, y_test = train_test_split(x, y, test_size = 0.2)

clf = SVC(kernel='linear',C=10)
clf.fit(x_train, y_train)

y_pred = clf.predict(x_test)

acc = metrics.accuracy_score(y_test, y_pred)

print(acc)