How To Work Through a Binary Classification Project in Weka Step-By-Step
Last Updated on December 11, 2019
The fastest way to get good at applied machine learning is to practice on end-to-end projects.
In this post you will discover how to work through a binary classification problem in Weka, end-to-end. After reading this post you will know:
- How to load a dataset and analyze the loaded data.
- How to create multiple different transformed views of the data and evaluate a suite of algorithms on each.
- How to finalize and present the results of a model for making predictions on new data.
Kick-start your project with my new book Machine Learning Mastery With Weka, including step-by-step tutorials and clear screenshots for all examples.
Let’s get started.
Step-By-Step Binary Classification Tutorial in Weka
Photo by Anita Ritenour, some rights reserved.
Tutorial Overview
This tutorial will walk you through the key steps required to complete a machine learning project.
We will work through the following process:
- Load the dataset.
- Analyze the dataset.
- Prepare views of the dataset.
- Evaluate algorithms.
- Finalize model and present results.