如何计算基于两个列表的python的准确率？

import numpy as np
from sklearn.metrics import accuracy_score

y_true = [0, 1, 1, 0, 1]
y_pred = [0, 1, 0, 0, 1]

accuracy = accuracy_score(y_true, y_pred)

print("准确率: {:.2f}%".format(accuracy * 100))

import numpy as np
from sklearn.metrics import accuracy_score

y_true = [0, 1, 1, 0, 1]
y_pred = [0, 1, 0, 0, 1]

accuracy = accuracy_score(y_true, y_pred)

print("准确率: {:.2f}%".format(accuracy * 100))