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@roboreport
Created March 3, 2019 11:54
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X_Cols = X_train.rename(columns= {'region_cd': '지역코드(시도)', 'year': '연도', 'month':'월', 'building_type': '부동산타입',
'tradeprice_sido' : '매매가격지수(시도)', 'construction_realized_amount' : '건설기성액(백만원)', "cd": "cd(91일물)",
'spirit_deposit_rate': '정기예금금리', 'exchange_rate': '환율', 'composite_stock_price_index': '종합주가지수',
'economy_growth': '경제성장률','exchequer_bond_three' : '국고채3년','household_loan_all': '가계대출액(전국)',
'mortgage_all' : '주택대출액(전국)', 'numberofnosells':'미분양 가구수(시도)','unsalenum_c':'공사완료후 미분양(민간,시도)' })
print(X_train.columns)
coefs = pd.DataFrame(zip(X_Cols.columns,lm.coef_), columns = ['features', 'coefficients'])
coefs.reindex(coefs.coefficients.abs().sort_values(ascending=False).index)
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