code: def sk_KNORAE_knn(XTrain, YTrain, k, XTest, YTest):
      start = time.clock()
      knorae_sk = KNORAE(k=k, knn_classifier="knn")
      knorae_sk.fit(XTrain, YTrain)
      score = knorae_sk.score(XTest, YTest)
      print(
          "sklearn_knn_knorae run_time: {}".format(time.clock() - start)
      )
      print("sklearn_knn_knorae score: {}".format(score))
  
file_path: DESlib/benchmarks/bench_ds_performance_faiss.py
imports: import gzip
  import os
  import shutil
  import threading
  import time
  import urllib.request
  import pandas
  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: sk_KNORAE_knn(XTrain, YTrain, k, XTest, YTest) without return types