Kaggle competition: Santander Customer Transaction Prediction
<SOS> metric: AUC Kaggle data source: santander-customer-transaction-prediction<categorify>
s1 = pd.read_csv('.. /input/kernel-01000110-01010101-01001110/submission.csv' ).rename(columns={'target': 'target1'})
 s2 = pd.read_csv('.. /input/santander-ls/submission.csv' ).rename(columns={'target': 'target2'})
 s3 = pd.read_csv('.. /input/santander-improved-starter-solution/submission.csv' ).rename(columns={'target': 'target3'} )
train['NumberOfPlayers'] = train.groupby('matchId')['matchId'].transform('count')
 train['NumberOfPlayersInTeam'] = train.groupby(['matchId','groupId'])['groupId'].transform('count' )<categorify>
sub = pd.merge(s1, s2, how='left', on='ID_code')
 sub = pd.merge(sub, s3, how='left', on='ID_code')
 sub['target'] =(( sub['target1'] * 0.33)+(sub['target2'] * 0.33)+(sub['target3'] * 0.34)).clip(0,1)
 sub[['ID_code','target']].to_csv('submission.csv', index=False )