logistic_do_regression.py

train_cols = data.columns[1:]
# Index([gre, gpa, prestige_2, prestige_3, prestige_4], dtype=object)

logit = sm.Logit(data['admit'], data[train_cols])

# fit the model
result = logit.fit()

I think the Index comment here is wrong, it should include the Intercept column also, right? That really confused me at first! I thought you were creating the intercept column but then not actually using it in the model.

And thanks for the tutorial! It helped me out a lot, other than that one confusing part :)

Any Idea why I am getting this error when running this logit code?

logit = sm.Logit(data['admit'], data[train_cols])
AttributeError: 'module' object has no attribute 'Logit'

I have been reading the documentation, and have read about endog, and exog. Have the format for the parameters changed or something? I can not seem to figure it out any ideas would be appreciated it!

Never mind,
found my problem
import statsmodels
instead of:
import statsmodels.api as sm

yeah!!!
use
import statsmodels as sm
instead of
import statsmodels.api as sm