import os
import pandas as pd
os.system('cd /home/vatsal/Desktop/LT-Autograder-master/TestCode')
os.system(
    'python2 /home/vatsal/Desktop/LT-Autograder-master/TestCode/preProcessData.py'
    )
os.system(
    'Rscript /home/vatsal/Desktop/LT-Autograder-master/TestCode/predict_labels.R'
    )
os.system(
    'Rscript /home/vatsal/Desktop/LT-Autograder-master/TestCode/modelingRf.R')
os.system(
    'Rscript /home/vatsal/Desktop/LT-Autograder-master/TestCode/modelingGbm.R')
os.system(
    'Rscript /home/vatsal/Desktop/LT-Autograder-master/TestCode/AveModels.R')
prediction = pd.read_csv(
    '/home/vatsal/Desktop/LT-Autograder-master/TestCode/finalModel/finalPrediction.csv'
    , sep=',')
print(prediction)

9f35df18aab651788b6205663aee975af96ec7ff
<mask token>

<mask token>
os.system('cd /home/vatsal/Desktop/LT-Autograder-master/TestCode')
os.system(
    'python2 /home/vatsal/Desktop/LT-Autograder-master/TestCode/preProcessData.py'
    )
os.system(
    'Rscript /home/vatsal/Desktop/LT-Autograder-master/TestCode/predict_labels.R'
    )
os.system(
    'Rscript /home/vatsal/Desktop/LT-Autograder-master/TestCode/modelingRf.R')
os.system(
    'Rscript /home/vatsal/Desktop/LT-Autograder-master/TestCode/modelingGbm.R')
os.system(
    'Rscript /home/vatsal/Desktop/LT-Autograder-master/TestCode/AveModels.R')
<mask token>
print(prediction)

<mask token>
os.system('cd /home/vatsal/Desktop/LT-Autograder-master/TestCode')
os.system(
    'python2 /home/vatsal/Desktop/LT-Autograder-master/TestCode/preProcessData.py'
    )
os.system(
    'Rscript /home/vatsal/Desktop/LT-Autograder-master/TestCode/predict_labels.R'
    )
os.system(
    'Rscript /home/vatsal/Desktop/LT-Autograder-master/TestCode/modelingRf.R')
os.system(
    'Rscript /home/vatsal/Desktop/LT-Autograder-master/TestCode/modelingGbm.R')
os.system(
    'Rscript /home/vatsal/Desktop/LT-Autograder-master/TestCode/AveModels.R')
prediction = pd.read_csv(
    '/home/vatsal/Desktop/LT-Autograder-master/TestCode/finalModel/finalPrediction.csv'
    , sep=',')
print(prediction)

import os
import pandas as pd
os.system('cd /home/vatsal/Desktop/LT-Autograder-master/TestCode')
os.system(
    'python2 /home/vatsal/Desktop/LT-Autograder-master/TestCode/preProcessData.py'
    )
os.system(
    'Rscript /home/vatsal/Desktop/LT-Autograder-master/TestCode/predict_labels.R'
    )
os.system(
    'Rscript /home/vatsal/Desktop/LT-Autograder-master/TestCode/modelingRf.R')
os.system(
    'Rscript /home/vatsal/Desktop/LT-Autograder-master/TestCode/modelingGbm.R')
os.system(
    'Rscript /home/vatsal/Desktop/LT-Autograder-master/TestCode/AveModels.R')
prediction = pd.read_csv(
    '/home/vatsal/Desktop/LT-Autograder-master/TestCode/finalModel/finalPrediction.csv'
    , sep=',')
print(prediction)
