rfecv complete code

#Import Libraries
import numpy as np
import pandas as pd
from sklearn.feature_selection import RFECV
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()
rfecv = RFECV(estimator=model,step=2,scoring="accuracy",min_features_to_select=8,n_jobs=-1).fit(df,y)
rfecv.get_feature_names_out()