Java Deep Learning Cookbook

How it works...

The CSV data from the dataset has 14 features. Each row represents a customer/record, as shown in the following screenshot:

Our dataset is a CSV file containing 10,000 customer records, where each record is labeled as to whether the customer left the business or not. Columns 0 to 13 represent input features. The 14^th column, Exited, indicates the label or prediction outcome. We're dealing with a supervised model, and each prediction is labeled with 0 or 1, where 0 indicates a happy customer, and 1 indicates an unhappy customer who has left the business. The first row in the dataset is just feature labels, and we don't need ...