集成学习-森林-代码实现

孤立

# from csv import reader
# with open(r"D:\data\auth_100M.txt", 'r') as read_obj:
#     csv_reader = reader(read_obj)
#     for row in csv_reader:
#         source_user     = row[demo.py].split("@")[0]
#         des_user        = row[2].split("@")[0]
#         source_computer = row[3]
#         des_computer    = row[4]
#         auth_type       = row[5]
#         logon_type      = row[6] #
#         logon_orient    = row[7] # logon, logoff
#         print()
import numpy as np
from sklearn.ensemble import IsolationForest
import matplotlib.pyplot as plt
from sklearn.metrics import confusion_matrix, classification_report, roc_auc_score
from sklearn.model_selection import train_test_split
rng = np.