Kaggle competition: Elo Merchant Category Recommendation
train.drop(train[train['longestKill'] >= 1000].index, inplace=True )<define_variables>
import numpy as np
import pandas as pd
v = 22.5 / 3.6<filter>
df1 = pd.read_csv('.. /input/combining-your-model-with-a-model-without-o-0d991a/combining_submission.csv')
 df2 = pd.read_csv('.. /input/simple-lightgbm-without-blending/submission.csv' )
train[train['walkDistance'] >= v * train['matchDuration']]<drop_column>
df1['target'] =.5*df1['target'] +.5*df2['target']
<filter><EOS> 
df1.to_csv('ens.csv',index=False )