X_train_sub, y_train_sub = data_subsample(X_train, y_train, 1000)
X_test_sub, y_test_sub = data_subsample(X_test, y_test, 1000)
minnst = float("inf")
retturflokkur = 0
for i in range (1000):
    for k in range(1000):
        d = np.linalg.norm(X_train_sub[i]-X_test_sub[k])
        if(d < minnst):
            minnst = d
            ybreyta = k
    if(y_train_sub[i]==y_test_sub[ybreyta]):
        retturflokkur+=1
print(retturflokkur)