How to perform Permutation Feature importance?
Ok lets answer this with some basic steps:

Yo have done what you said until 5-th step after that you could do:

from sklearn.feature_selection import RFECV
from eli5.sklearn import PermutationImportance
pi=PermutationImportance(logreg, cv=2).fit(X_train,y)
selector=RFECV(pi, step=10, n_jobs=-1, cv=2, scoring="f1_macro").fit(X_train,y)


now make predictions

selector.predict(X_test)

or plot the most important features

import matplotlib.pyplot as plt
plt.plot(selector.grid_scores_)