recursive feature elimination complete code

#Import Libraries
import numpy as np
import pandas as pd
from sklearn.feature_selection import RFE
from sklearn.ensemble import GradientBoostingClassifier


# Data Processing
df=pd.read_csv("https://archive.ics.uci.edu/ml/machine-learning-databases/00537/sobar-72.csv")
y=df.pop('ca_cervix')


#Feature Selection
model = GradientBoostingClassifier()
rfe = RFE(estimator=model, n_features_to_select=10, step=2).fit(df,y)
rfe.get_feature_names_out()