Kaggle competition: SIIM-ISIC Melanoma Classification
<SOS> metric: MCAUC Kaggle data source: siim-isic-melanoma-classification<save_to_csv>
import numpy as np
import pandas as pd
import numpy as np
import pandas as pd
import os
submission['Survived'] = pred
submission.to_csv('rf_submission_v2.csv', index=False )<set_options>
test = pd.read_csv('.. /input/siim-isic-melanoma-classification/test.csv')
 first = pd.read_csv('.. /input/output-of-best-public-submission/submission_best.csv')
 second = pd.read_csv('.. /input/output-of-best-public-submission/submission_first.csv')
 third = pd.read_csv('.. /input/output-of-best-public-submission/submission_post_process.csv')
 submission = first.copy()
second.head()
<load_from_csv><EOS> 
arg1 =(2/3)*first['target']
arg2 =(1/6)*second['target']
arg3 =(1/6)*third['target']
submission['target'] = arg1 + arg2 + arg3
submission.to_csv('submission.csv', index=False)
 submission.head()