number_of_columns = 130

for i in range(1, number_of_columns):
    rfe = RFE(model, i)
    fit = rfe.fit(x_train, y_train)
    acc = fit.score(x_test, y_test

model = SelectFromModel(clf, prefit=True)
#train_score = clf.score(x_train, y_train)
test_score = clf.score(x_test, y_test)
column_res = model.transform(x_train).shape

rfe = RFE(model, number_of_columns)
fit = rfe.fit(x_train, y_train)
acc = fit.score(x_test, y_test)

sklearn.linear_model.LogisticRegression(penalty=’l1‘,...