KNN model

The K-Nearest Neighbours (KNN) model is not an ensemble learning model, but it performs the best among the simple models:

In the preceding model, we can see the process used while making a KNN. We will use 20 neighbors. We are using the euclidean metric to measure the distances between the points, and then we will train the model. Here, the performance metric is saved since the value is just 1, which is the mean squared error.