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