LOOCV python
时间: 2023-11-09 22:00:51 浏览: 37
LOOCV是Leave-One-Out Cross-Validation的缩写,是一种交叉验证的方法。它的基本思想是将数据集中的每个样本都作为测试集,其余样本作为训练集,进行模型训练和测试,最终得到模型的性能评估指标。
在Python中,可以使用scikit-learn库中的LeaveOneOut类来实现LOOCV。具体实现方法如下:
```python
from sklearn.model_selection import LeaveOneOut
from sklearn.linear_model import LinearRegression
from sklearn.datasets import load_boston
# 加载数据集
boston = load_boston()
X = boston.data
y = boston.target
# 创建模型
model = LinearRegression()
# 创建LOOCV对象
loo = LeaveOneOut()
# 进行交叉验证
scores = []
for train_index, test_index in loo.split(X):
X_train, X_test = X[train_index], X[test_index]
y_train, y_test = y[train_index], y[test_index]
model.fit(X_train, y_train)
score = model.score(X_test, y_test)
scores.append(score)
# 计算平均得分
mean_score = sum(scores) / len(scores)
print("Mean score:", mean_score)
```