import numpy as np | |
import statsmodels.api as sm | |
df = sm.datasets.ccard.load_pandas().data | |
df['intercept'] = 1.0 | |
model = sm.Logit(df.OWNRENT, df[['intercept', 'AGE', 'INCOME']]) | |
result = model.fit() | |
result.summary() | |
# the odds | |
np.exp(result.params) |
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