feature names in LogisticRegression() I want to know feature names that a LogisticRegression() Model has used along with their corresponding weights in scikit-learn. I can access to weights using coef_, but i did not know how can pair them with their corresponding weights.
We if you're using sklearn's LogisticRegression, then it's the same order as the column names appear in the training data. see below code.

#Train with Logistic regression
from sklearn.linear_model import LogisticRegression
from sklearn import metrics

model = LogisticRegression()
model.fit(X_train,Y_train)
#Print model parameters - the names and coefficients are in same order
print(model.coef_)
print(X_train.columns)


You may also verify using another library as below

import statsmodels.api as sm
logit_model=sm.Logit(Y_train,X_train)
result=logit_model.fit()
print(result.summary2())