Kaggle competition: IEEE-CIS Fraud Detection
<feature_engineering><EOS> 
id_name = 'TransactionID'
label_name = 'isFraud'
submission = pd.read_csv('/kaggle/input/ieee-fraud-detection/sample_submission.csv')
 def Merge_sub(weightDic):
plt.figure(figsize=(14,7))
all_sub = np.zeros(submission.shape[0])
 for suffix in weightDic.keys() :
sub = pd.read_csv('/kaggle/input/10th-submissionpart-daishu/submission_%s.csv'%(suffix))
sns.distplot(np.log10(sub[label_name]),bins=200,label=suffix)
 all_sub += sub[label_name] * weightDic[suffix]
sub[label_name] = all_sub
sns.distplot(np.log10(sub[label_name]),bins=200,label='after merge')
 plt.legend()
sub.to_csv('./submission.csv',index=False)
 return None