Kaggle competition: Don't Overfit! II
<SOS> metric: AUC Kaggle data source: dont-overfit!-ii<define_variables>
sub1 = pd.read_csv('.. /input/overfitting-dataset/submission1.csv')
 sub2 = pd.read_csv('.. /input/overfitting-dataset/submission2.csv')
 sub3 = pd.read_csv('.. /input/overfitting-dataset/submission3.csv')
 sub4 = pd.read_csv('.. /input/overfitting-dataset/submission4.csv' )
num_rows = None
nan_as_category = True<train_model>
submission = pd.DataFrame()
submission['id'] = sub1['id']
submission['target'] = 0.25*sub1['target']+0.25*sub2['target']+0.25*sub3['target']+0.25*sub4['target']
print("Start Train Test................." )<load_from_csv>
submission.to_csv('submission.csv', index=False )
<categorify><EOS> 
submission.to_csv('submission.csv', index=False )