result_analysis.py 1003 B

123456789101112131415161718192021222324252627282930313233343536373839
  1. def analysis(data):
  2. """
  3. 分析结果
  4. :param data:
  5. :return:
  6. """
  7. pred_count = 0
  8. true_count = 0
  9. accuracy_count = 0
  10. total_count = 0
  11. for line in data:
  12. true_tag = line.split("\t")[0]
  13. pred_tag = line.split("\t")[1]
  14. if int(true_tag) == 1:
  15. true_count += 1
  16. if int(pred_tag) == 1:
  17. pred_count += 1
  18. if true_tag == pred_tag:
  19. accuracy_count += 1
  20. total_count += 1
  21. print("准确率:\t", (true_count + pred_count) / pred_count)
  22. print("召回率:\t", (true_count + pred_count) / true_count)
  23. print("Accuracy:\t", accuracy_count / total_count)
  24. if __name__ == '__main__':
  25. path1 = "summary_tag.txt"
  26. path2 = "summary_tag_04.txt"
  27. with open(path1, encoding="utf-8") as f1:
  28. data1 = f1.readlines()
  29. with open(path2, encoding="utf-8") as f2:
  30. data2 = f2.readlines()
  31. print("默认参数")
  32. analysis(data1)
  33. print("贝叶斯优化")
  34. analysis(data2)