Exercise

Building a diabetes classifier

You'll be using the Pima Indians diabetes dataset to predict whether a person has diabetes using logistic regression. There are 8 features and one target in this dataset. The data has been split into a training and test set and pre-loaded for you as X_train, y_train, X_test, and y_test.

A StandardScaler() instance has been predefined as scaler and a LogisticRegression() one as lr.

Instructions

100 XP

Fit the scaler on the training features and transform these features in one go.
Fit the logistic regression model on the scaled training data.
Scale the test features.
Predict diabetes presence on the scaled test set.