Keras在房价预测有编写k折交叉验证的函数
for循环k次，每次划分训练和验证集并加以操作
Sklearn有专门函数实现交叉验证
from sklearn.model_selection import cross_val_score
scores = cross_val_score(tree_reg, housing_prepared, housing_labels,
scoring="neg_mean_squared_error", cv=10)
tree_rmse_scores = np.sqrt(-scores)
def display_score(scores):
print("Scores:", scores)
print("Mean:", scores.mean())
print("Standard deviation:", scores.std())
display_score(tree_rmse_scores)
pd.Series(np.sqrt(-scores)).describe()
eg:
scores = cross_val_score(lin_reg, housing_prepared, housing_labels, scoring="neg_mean_squared_error", cv=10) pd.Series(np.sqrt(-scores)).describe() count 10.000000 mean 69051.635544 std 2880.193332 min 64969.630564 25% 67136.363758 50% 68149.396085 75% 70985.098467 max 74742.024207 dtype: float64