Suppose we are training a k - nearest neighbor model to predict the animal based only on its weight. In our training data, we have the weights of ants, of cats, and of elephants. Explain why choosing k = 1 would likely produce perfect accuracy on training data comprising weights of ants, cats, and elephants.

Suppose we are training a k - nearest neighbor model to predict the animal based only on its weight. In our training data, we have the weights of ants, of cats, and of elephants. Explain why choosing k = 1 would likely produce perfect accuracy on training data comprising weights of ants, cats, and elephants.

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Suppose we are training a k - nearest neighbor model to predict the animal based only on its
weight. In our training data, we have the weights of ants, of cats, and of elephants. Explain why
choosing k = 1 would likely produce perfect accuracy on training data comprising weights of
ants, cats, and elephants.

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