from sklearn.feature_selection import SelectKBest, chi2

# Assuming X and y are your input features and target labels, respectively

 # Select the top 10 features
selector = SelectKBest(score_func=chi2, k=10)

# X_new contains the selected features
X_new = selector.fit_transform(X, y)

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