Exercise

Building a logistic regression model

In this exercise, you will build a logistic regression model using all features in the diabetes_df dataset. The model will be used to predict the probability of individuals in the test set having a diabetes diagnosis.

The diabetes_df dataset has been split into X_train, X_test, y_train, and y_test, and preloaded for you.

Instructions

100 XP

Import LogisticRegression.
Instantiate a logistic regression model, logreg.
Fit the model to the training data.
Predict the probabilities of each individual in the test set having a diabetes diagnosis, storing the array of positive probabilities as y_pred_probs.