How To Print Logistic Regression Coefficients In Python. Import pandas as pd import numpy as np import matplotlib.pyplot as plt %matplotlib inline import seaborn as sns. The logistic regression model the output as the odds, which assign the probability to the observations for classification.

Data gets separated into explanatory variables ( exog) and a response variable ( endog ). From statsmodels.discrete.discrete_model import logit from statsmodels.tools import add_constant x = # obesrvations y = # response variable x = add_constant(x) print(logit(y, x).fit().summary()) tags: Steps = [ ('t1', standardscaler ()), ('t2', powertransformer ()), ('m', logisticregression (solver='lbfgs', class_weight='balanced'))] model = pipeline (steps=steps) model = model.fit (x, y) reply.