Machine Learning

Save And Finalize Your Machine Learning Model in R

Last Updated on August 22, 2019

Finding an accurate machine learning is not the end of the project.

In this post you will discover how to finalize your machine learning model in R including: making predictions on unseen data, re-building the model from scratch and saving your model for later use.

Kick-start your project with my new book Machine Learning Mastery With R, including step-by-step tutorials and the R source code files for all examples.

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Finalize Your Machine Learning Model in R

Finalize Your Machine Learning Model in R.
Photo by Christian Schnettelker, some rights reserved.

Finalize Your Machine Learning Model

Once you have an accurate model on your test harness you are nearly, done. But not yet.

There are still a number of tasks to do to finalize your model. The whole idea of creating an accurate model for your dataset was to make predictions on unseen data.

There are three tasks you may be concerned with:

  1. Making new predictions on unseen data.
  2. Creating a standalone model using all training data.
  3. Saving
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