import pandas as pd
import numpy as np
import sklearn
import pickle
import time
import datetime
import warnings
warnings.filterwarnings('ignore')imports
%run ../function_proposed_gcn.pywith open('../fraudTrain.pkl', 'rb') as file:
fraudTrain = pickle.load(file) df_results = try_6(fraudTrain, 0.006,1e7,0.8)
ymdhms = datetime.datetime.fromtimestamp(time.time()).strftime('%Y%m%d-%H%M%S')
df_results.to_csv(f'../results/{ymdhms}-proposed.csv',index=False)
df_results