Last Updated on August 22, 2019 Ensemble algorithms are a powerful class of machine learning algorithm that combine the predictions from multiple models. A benefit of using Weka for applied machine learning is that makes available so many different ensemble machine learning algorithms. In this post you will discover the how to use ensemble machine learning algorithms in Weka. After reading this post you will know: About 5 top ensemble machine learning algorithms. How to use top ensemble algorithms in […]

Last Updated on December 11, 2019 What algorithm should you use for a given machine learning problem? This is the challenge of applied machine learning. There is no quick answer to this question, but there is a reliable process that you can use. In this post you will discover how to find good and even best machine learning algorithms for a data set by directly comparing them in Weka. After reading this post you will know: The process for discovering […]

Last Updated on December 11, 2019 You can get the most from a machine learning algorithm by tuning its parameters, called hyperparameters. In this post you will discover how to tune machine learning algorithms with controlled experiments in Weka. After reading this post you will know: The importance of improving the performance of machine learning models by algorithm tuning. How to design a controlled experiment to tune the hyperparameters of a machine learning algorithm. How to interpret the results from […]

Last Updated on December 11, 2019 After you have found a well performing machine learning model and tuned it, you must finalize your model so that you can make predictions on new data. In this post you will discover how to finalize your machine learning model, save it to file and load it later in order to make predictions on new data. After reading this post you will know: How to train a final version of your machine learning model […]

Last Updated on August 22, 2019 The Weka machine learning workbench is so easy to use that working through a machine learning project can be a lot of fun. In this post you will complete your first machine learning project using Weka, end-to-end. This gentle introduction to working through a project will tie together the key steps you need to complete when working through machine learning project in Weka. After completing this project, you will know: How to analyze a […]

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 […]