用python写一段企业信用评分模型
时间: 2023-05-11 19:07:19 浏览: 68
好的,以下是一段用Python编写的企业信用评分模型的示例代码:
```python
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import accuracy_score
# 读取数据
data = pd.read_csv('credit_data.csv')
# 数据预处理
data = data.dropna()
data = data[data['credit_score'] >= 0]
# 特征工程
features = ['income', 'age', 'loan']
target = 'default'
X = data[features]
y = data[target]
# 划分训练集和测试集
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
# 建立逻辑回归模型
model = LogisticRegression()
model.fit(X_train, y_train)
# 预测测试集
y_pred = model.predict(X_test)
# 计算准确率
accuracy = accuracy_score(y_test, y_pred)
print('Accuracy:', accuracy)
```
这段代码使用了逻辑回归模型对企业信用评分进行预测,其中特征包括收入、年龄和贷款金额。数据预处理包括删除缺失值和负的信用评分。最后计算了模型在测试集上的准确率。