from pystreamfs.algorithms import ofs

from pystreamfs import pystreamfs

from sklearn.neighbors import KNeighborsClassifier

data = pd.read_csv('C:/Users/HP/Desktop/bank_loan.csv')

X, Y = pystreamfs.prepare_data(data, 1, True)

fs_algorithm = ofs.run_ofs

param = dict()

param['num_features'] = 3 # number of features to return

param['batch_size'] = 100 # batch size

model = KNeighborsClassifier(n_jobs=-1, n_neighbors=5)

stats = pystreamfs.simulate_stream(X, Y, fs_algorithm, model, param)

x = pystreamfs.plot_stats(stats, feature_names, param, 'Online feature selection (OFS)', 'K Nearest Neighbor').show()

The dataset has 13 features and using ofs with batch size 100 samples the algorithm has extracted 3 important features as per my setting.

How to retrieve those 3 selected feature names in python for further programming