用Python写一个逻辑回归分析的代码

import numpy as np
import pandas as pd
from sklearn.linear_model import LogisticRegression # 读取数据
data = pd.read_csv('data.csv')
# 拆分数据集
X = data.drop('target', axis=1)
y = data['target']
# 构建模型
model = LogisticRegression()
# 训练模型
model.fit(X, y)
# 模型预测
predictions = model.predict(X)