feature selection selectpercentile

#Import Libraries
import numpy as np
import pandas as pd
from sklearn.feature_selection import SelectPercentile, f_classif


# 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
selectpercentile = SelectPercentile(f_classif, percentile=40)
transformed_data=selectpercentile.fit_transform(df, y)
selectpercentile.get_feature_names_out()