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kiwamizamurai/propensity_score-1.ipynb

Created February 26, 2020 02:02
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## flag is true
X = df[['age', 'gender']]
X = pd.get_dummies(X).values
y = df['treatment']
y = y.values

model = LogisticRegression().fit(X, y)

for column, coef in zip(['age', 'gender'], model.coef_[0]):
    print(f'{column}: {coef}')

print('intercept: ', model.intercept_[0])

ここは間違いです

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