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AI for Medicine Course 3 Week 1 lecture notebook

Logistic Regression Model Interpretation

Welcome to this exercise! You'll review how to interpret the coefficients in a logistic regression model.

  • The logistic regression is considered a Generalized Linear Model.
  • In general, you would employ one of these models to interpret the relationship between variables.
  • The logistic regression can be interpreted in terms of the odds and OR (Odds Ratio), which you'll learn about here.

Import Libraries

# Import libraries that you will use in this notebook
import numpy as np
import pandas as pd
from sklearn.linear_model import LogisticRegression

Load the Data