Imagine we apply the perceptron learning algorithm to the 5 point data set we used in the above problem: Negative: (1, 0) (2, 1) (2, 2), Positive: (0, 0) (2, 0). What would be the result of such classification? A) The perceptron algorithm would converge since the 5 point data set is linearly separable. B) The perceptron algorithm would not converge since the 5 point data set is linearly separable. C) The perceptron algorithm would converge since the 5 point data set is not linearly separable. D) The perceptron algorithm would not converge since the 5 point data set is not linearly separable.

Imagine we apply the perceptron learning algorithm to the 5 point data set we used in the above problem: Negative: (1, 0) (2, 1) (2, 2), Positive: (0, 0) (2, 0). What would be the result of such classification? A) The perceptron algorithm would converge since the 5 point data set is linearly separable. B) The perceptron algorithm would not converge since the 5 point data set is linearly separable. C) The perceptron algorithm would converge since the 5 point data set is not linearly separable. D) The perceptron algorithm would not converge since the 5 point data set is not linearly separable.

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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Concept explainers

Use of XOR function

XOR function or exclusive OR function was introduced in Excel 2013. This function is available under excel logical functions. For the given statement, the XOR function will return true only when either of the statements is true. It returns false when both the statements are true or when both the statements are false.

Question

Page 18 of 19
Imagine we apply the perceptron learning algorithm to the 5 point data set we used in the above
problem: Negative: (1, 0) (2, 1) (2, 2), Positive: (0, 0) (2, 0). What would be the result of such
classification?
A) The perceptron algorithm would converge since the 5 point data set is linearly separable.
B) The perceptron algorithm would not converge since the 5 point data set is linearly separable.
C) The perceptron algorithm would converge since the 5 point data set is not linearly separable.
D) The perceptron algorithm would not converge since the 5 point data set is not linearly separable.
BEL

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