Kaggle competition: Home Credit Default Risk
test.isnull().sum()<count_values>
data1 = pd.read_csv('.. /input/lightgbm-with-simple-features-0-785-lb/submission_kernel00.csv')
 data2 = pd.read_csv('.. /input/tidy-xgb-all-tables-0-782/tidy_xgb_0.77821.csv' )
train.Outcome.value_counts()<prepare_x_and_y>
data1['TARGET'] =(data1['TARGET']+data2['TARGET'])/2
<train_model><EOS> 
data1.to_csv('blend1_.788lb.csv',index = False )