Spot Check Machine Learning Algorithms in R (algorithms to try on your next project)
Last Updated on August 22, 2019
Spot checking machine learning algorithms is how you find the best algorithm for your dataset.
But what algorithms should you spot check?
In this post you discover the 8 machine learning algorithms you should spot check on your data.
You also get recipes of each algorithm that you can copy and paste into your current or next machine learning project in R.
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.
Let’s get started.
Spot Check Machine Learning Algorithms in R
Photo by Nuclear Regulatory Commission, some rights reserved.
Best Algorithm For Your Dataset
You cannot know which algorithm will work best on your dataset before hand.
You must use trial and error to discover a short list of algorithms that do well on your problem that you can then double down on and tune further. I call this process spot checking.
The question is not: