如何列出逻辑回归中特征重要性的相应列名

Question

如何列出特征重要性的实际特征名称（列名），而不是特征的索引号？

from sklearn.datasets import make_classification
from sklearn.linear_model import LogisticRegression
X, y = make_classification(n_samples=2700, n_features=3, n_informative=5, n_redundant=5, 
random_state=1)

model = LogisticRegression()

model.fit(X, y)

importance = model.coef_[0]

for i,v in enumerate(importance):
    print('Feature: %0d, Score: %.5f' % (i,v))

output：

Feature: 0, Score: -0.11124
Feature: 1, Score: -0.04292
Feature: 2, Score: 0.00561

所需的 Output：

featurename1, Score: -0.11124
featurename2, Score: -0.04292
featurename3, Score: 0.00561

Answer 1

也许这会有所帮助： https://datascience.stackexchange.com/questions/29131/feature-names-in-logisticregression

还要确保发布您正在使用的 sklearn 版本。