In [82]:

    

import os
import glob
import pandas as pd
import numpy as np


    

In [83]:

    

files = glob.glob(os.getcwd() + "/xgb_various_seeds/*.csv")


    

In [84]:

    

submission_df = pd.read_csv(files[0])
value = submission_df.y

for i in files[1:]:
    submission_df = pd.read_csv(i)
    value += submission_df.y
    
average_prediction = value / len(files)


    

In [85]:

    

output = pd.DataFrame({"id": submission_df.id, "y": average_prediction})

output.to_csv("submission_average.csv", index=False)


    

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