Last Updated on August 22, 2019 Weka has a large number of regression algorithms available on the platform. The large number of machine learning algorithms supported by Weka is one of the biggest benefits of using the platform. In this post you will discover how to use top regression machine learning algorithms in Weka. After reading this post you will know: About 5 top regression algorithms supported by Weka. How to use regression machine learning algorithms for predictive modeling in […]

Last Updated on August 22, 2019 Weka makes a large number of classification algorithms available. The large number of machine learning algorithms available is one of the benefits of using the Weka platform to work through your machine learning problems. In this post you will discover how to use 5 top machine learning algorithms in Weka. After reading this post you will know: About 5 top machine learning algorithms that you can use on your classification problems. How to use 5 […]

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 […]