Load Required Libraries and Data
We’ll start by loading the necessary libraries and a dataset. For this tutorial, we’ll use the classic Iris dataset, which contains three different species of iris flowers (setosa, versicolor, and virginica).
R
library (caret) # ggplot is used for plotting library (ggplot2) library (tidymodels) # Load the Iris dataset data (iris) |
Predictions Multiple outcomes with KNN Model Using tidymodels
When dealing with classification problems that involve multiple classes or outcomes, it’s essential to have a reliable method for making predictions. One popular algorithm for such tasks is k-Nearest Neighbors (k-NN). In this tutorial, we will walk you through the process of making predictions with multiple outcomes using a k-NN model in R, specifically with the tidymodels framework.
K-Nearest Neighbors (KNN) is a simple yet effective supervised machine learning algorithm used for classification and regression tasks. Here’s an explanation of KNN and some of its benefits:
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