code: def write_evaluation_report(report_dic):
      RerankTerms.model_dir.mkdir(parents=True, exist_ok=True)
      out_path = RerankTerms.model_dir / "rerank_classifier_results.csv"
      with open(out_path, "w", encoding="utf-8") as csv_file:
          writer = csv.writer(csv_file)
          writer.writerow(["term", "score", "y_pred", "y_true"])
          for key, value in report_dic.items():
              writer.writerow([key, value[0], value[1], value[2]])
      print("Report written to {}" + str(out_path))
  
imports: import csv
  import pickle
  import numpy
  import tensorflow
  from os import PathLike
  from pathlib import Path
  from nlp_architect.models.absa.utils import _read_generic_lex_for_similarity
  from nlp_architect.models.absa import TRAIN_OUT, TRAIN_LEXICONS, GENERIC_OP_LEX, LEXICONS_OUT
  from scipy.spatial.distance import cosine
  from sklearn.model_selection import StratifiedKFold
  from tensorflow.keras.layers import Dense, Dropout
  from tensorflow.keras.models import Sequential, load_model
  from nlp_architect.utils.embedding import load_word_embeddings
label_desc: Use image node_id 22 for calling the RerankTerms obj's underlying member method code with example usage: obj.write_evaluation_report(report_dic) without return types