knn is not like an algorithm that is always ready to go. Is knn not running? Almost. It doesn\’t generalise from the data it was trained on. The training time is short or doesn\’t exist at all. This makes it quick to train. So, it helps us put new data points into groups as they come in. The average or median of the values of its k-nearest neighbours is used in knn regression.
Source: https://insideaiml.com/blog/KNN-algorithm-and-its-implementation-in-Python-1108
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