Is is possible to see the input labels for a randomforest model? I have a random forest model built like this:
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import train_test_split
model = RandomForestClassifier(random_state=0)


X_train,X_test,y_train,y_test = train_test_split(X, y, test_size = 0.2, random_state=42, stratify=y)

model.fit(X_train, y_train)

Is there any method I can call (or attribute I can use) to see the column names used to make the  model?
Thanks
It is impossible to retrieve column names from a trained Random forest classifier from my experience, there is also a previous answer for an identical question.