Tidymodels
Tidymodels is a powerful and user-friendly ecosystem for modeling and machine learning in R. It provides a structured workflow for creating, tuning, and evaluating models. Before we proceed, make sure you have tidymodels and the necessary packages installed. You can install them using:
R
install.packages ( "tidymodels" ) |
Now, let’s dive into the steps to get predictions with multiple outcomes using a k-NN model.
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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