Consider a binary k-NN classifier where k = 4 and the two labels are “triangle" and "square". Consider classifying a new point x = 1, 1, where two of the x's nearest neighbors are labeled “triangle" and two are labeled “square" as shown below. 2 1 2 Which of the following methods can be used to break ties or avoid ties on this dataset? 1. Assign x the label of its nearest neighbor 2. Flip a coin to randomly assign a label to x (from the labels of its 4 closest points) 3. Use k =3instead 4. Use k =5instead Select one: O 1 only O 2 only O 2, 3, 4 O 2, 4 4 only O 1, 2, 3, 4 None of the above

Consider a binary k-NN classifier where k = 4 and the two labels are “triangle" and "square". Consider classifying a new point x = 1, 1, where two of the x's nearest neighbors are labeled “triangle" and two are labeled “square" as shown below. 2 1 2 Which of the following methods can be used to break ties or avoid ties on this dataset? 1. Assign x the label of its nearest neighbor 2. Flip a coin to randomly assign a label to x (from the labels of its 4 closest points) 3. Use k =3instead 4. Use k =5instead Select one: O 1 only O 2 only O 2, 3, 4 O 2, 4 4 only O 1, 2, 3, 4 None of the above

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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