CARET RANDOM FOREST HOW TO

This makes perfect sense: if the variance is close to zero, that means that there is not much variation within the data, that is, almost all observations have similar values. One of the fundamental aspects in the selection of variables is to check if their variance is zero or close to zero.

CARET RANDOM FOREST HOW TO

Let’s get started with Feature Selection! How to perform Feature Selection Luckily, caret offers features to help us through most of the steps in the data preparation process. These are many steps that you generally have to code yourself. Neptune.ai is a tool for experiment tracking and model registry for teams doing ML at a reasonable scale Discover Neptune.ai How to prepare data with caretīefore building a Machine Learning model, we must first perform several steps, such as Feature Selection, imputation of missing values, data dummyfication, etc. This post is possible thanks to the sponsorship of Neptune.ai And that is exactly what we are going to do in this post. In addition, R’s caret package has a lot of fantastic functions that will make your work much easier in the different stages of the Machine Learning process: feature selection, data splitting, model validation, etc.Īs you can see, R’s caret is a fantastic package and without a doubt, if you use R it is one of the packages that you should know in-depth. Luckily, in R we have caret, in my opinion, a fantastic package that will allow you to apply more than 230 Machine Learning models, all of them following the same structure and making your work much easier. For me, the main disadvantage is that finding the optimal value of hyperparameters changes depending on the library… So the process is really tedious. There are many models within the world of Machine Learning and there are still many more R packages to use these algorithms and caret is one of the main ones.Īlthough the fact that there are many libraries implementing models is a good thing, it also has its negative points. Machine Learning is one of the main uses of the R programming language.

Caret random forest