Exercise

Logistic regression for images

In this exercise, you will build a logistic regression model on a breast cancer dataset from the last exercise and evaluate its accuracy.

The X_train, X_test, y_train, and y_test that you created in the last exercise are available in your workspace, along with sklearn and pandas as pd. LogisticRegression is available via sklearn.linear_model.

Instructions

100 XP

Create a logistic regression classifier.
Fit the classifier using training data to make predictions for the testing data.
Assign totals for correct and incorrect predictions between training and testing targets to num_right and num_wrong respectively.
Compute accuracy using num_right and num_wrong using sum().