Machine learning with logistic regression

You are familiar with the steps of training and testing a classifier. With logistic regression, we will do the following:

• Load data into feature and target arrays, X and y, respectively
• Split the data into training and testing sets
• Train the logistic regression classifier on the training set
• Test the performance of the classifier on the test set

Getting ready

Define X, y – the feature and target arrays

Let's start predicting with scikit-learn's logistic regression. Perform the necessary imports and set the input...