Taking your first steps with classification

In this section, we will be creating a sample classification job using the public Wisconsin Breast Cancer dataset. The original dataset is available here: (https://archive.ics.uci.edu/ml/datasets/breast+cancer+wisconsin+(original)). For this exercise, we will be using a slightly sanitized version of the dataset, which will remove the necessity for data cleaning (an important step in the lifecycle of a machine learning project, but not one we have space to discuss in this book) and allow us to focus on the basics of creating a classification job:

1. Download the sanitized dataset file breast-cancer-wisconsin-outlier.csv from the Chapter 11 - Classification Analysis folder in the book's GitHub repository (https://github.com/PacktPublishing/Machine-Learning-with-Elastic-Stack-Second-Edition/tree/main/Chapter%2011%20-%20Classification%20Analysis) and store it locally on your machine. In your Kibana instance, navigate to the Machine...