code: def run_knorae(
      pool_classifiers, X_DSEL, y_DSEL, X_test, y_test, knn_type
  ):
      knorae = KNORAE(
          pool_classifiers=pool_classifiers, knn_classifier=knn_type
      )
  
      knorae.fit(X_DSEL, y_DSEL)
  
      start = time.clock()
      score = knorae.score(X_test, y_test)
      end = time.clock() - start
  
      return score, end
  
file_path: DESlib/benchmarks/bench_speed_faiss.py
imports: import gzip
  import os
  import shutil
  import time
  import urllib.request
  import numpy
  import pandas
  from sklearn.ensemble import BaggingClassifier
  from sklearn.model_selection import train_test_split
  from deslib.des.knora_e import KNORAE
label_desc: Use image node_id 1 for calling a global function with example usage: run_knorae(pool_classifiers, X_DSEL, y_DSEL, X_test, y_test, knn_type) and returns: score,  end