Question: Given the data set above, use KNN to classify the tuple with the values 6.5, 3.0, 5.2,and 2.0 for the attributes sepal length, sepal width,

Given the data set above, use KNN to classify the tuple

Given the data set above, use KNN to classify the tuple with the values 6.5, 3.0, 5.2,and 2.0 for the attributes sepal length, sepal width, petal length and petal width, respectively. What would the attribute iris species for the tuple be ? When K = 3, 5, 7 and Euclidean distance is in use.

sepal length sepal width petal length petal width iris species 5.5 3.5 1.3 0.2 Iris-setosa 4.6 3.2 1.4 0.2 Iris-setosa 5.2 3.4 1.4 0.2 Iris-setosa 4.9 3.1 1.5 0.1 Iris-setosa 4.3 3.0 1.1 0.1 Iris-setosa 5.1 3.5 1.4 0.2 5.1 3.8 1.9 0.4 Iris-setosa Iris-setosa Iris-setosa 5.1 3.8 1.6 0.2 5.1 3.4 1.5 0.2 Iris-setosa 5.1 3.3 1.7 0.5 Iris-setosa 4.8 3.4 1.9 0.2 Iris-setosa 5.3 3.7 1.5 0.2 Iris-setosa 5.1 3.5 1.4 0.3 Iris-setosa 4.8 3.0 1.4 0.1 Iris-setosa 5.2 3.5 1.5 0.2 Tris-setosa 5.5 4.2 1.4 0.2 Iris-setosa 5.4 3.9 1.3 0.4 Iris-setosa 4.7 3.2 1.3 0.2 Iris-setosa 5.0 3.0 1.6 0.2 Iris-setosa - 5.8 4.0 1.2 0.2 Iris-setosa 5.9 3.2 4.8 1.8 Iris-versicolor 5.5 2.4 3.7 1.0 Iris-versicolor 6.9 3.1 4.9 1.5 Iris-versicolor - 6.6 3.0 4.4 1.4 5.6 2.9 3.6 1.3 Iris-versicolor Iris-versicolor - Iris-versicolor 6.7 3.1 4.4 1.4 6.0 2.7 5.1 1.6 Iris-versicolor 6.1 2.9 4.7 1.4 Iris-versicolor 4.9 2.4 3.3 1.0 Iris-versicolor 6.1 2.8 4.7 1.2 Iris-versicolor 6.7 3.1 4.7 1.5 Iris-versicolor 7.0 3.2 4.7 1.4 5.7 2.6 3.5 1.0 Iris-versicolor Iris-versicolor Iris-versicolor 5.5 2.3 4.0 1.3 5.6 3.0 4.5 1.5 Iris-versicolor 6.0 2.9 4.5 1.5 Iris-versicolor 6.0 3.4 4.5 1.6 Iris-versicolor 6.1 2.8 4.0 1.3 Iris-versicolor 5.9 3.0 4.2 1.5 Iris-versicolor 6.7 3.0 5.0 1.7 Iris-versicolor 4.9 2.5 4.5 1.7 Iris-virginica 6.7 3.3 5.7 2.5 Iris-virginica 6.3 2.7 4.9 1.8 Iris-virginica 7.2 3.2 6.0 1.8 5.6 2.8 4.9 2.0 6.7 3.3 5.7 2.1 Iris-virginica Iris-virginica Iris-virginica Iris-virginica Iris-virginica 6.5 3.0 5.8 2.2 6.4 2.8 5.6 2.2 6.3 2.9 5.6 1.8 Iris-virginica 7.9 3.8 6.4 2.0 Iris-virginica 6.7 3.0 5.2 2.3 Iris-virginica 6.3 2.5 5.0 1.9 Iris-virginica 7.1 3.0 5.9 2.1 Iris-virginica 6.5 3.2 5.1 2.0 Iris-virginica 5.8 2.7 5.1 1.9 Iris-virginica 7.6 3.0 6.6 2.1 Iris-virginica 6.5 3.0 5.5 1.8 Iris-virginica Iris-virginica 7.2 3.0 5.8 1.6 6.0 2.2 5.0 1.5 Iris-virginica Iris-virginica 6.9 3.1 5.1 2.3 sepal length sepal width petal length petal width iris species 5.5 3.5 1.3 0.2 Iris-setosa 4.6 3.2 1.4 0.2 Iris-setosa 5.2 3.4 1.4 0.2 Iris-setosa 4.9 3.1 1.5 0.1 Iris-setosa 4.3 3.0 1.1 0.1 Iris-setosa 5.1 3.5 1.4 0.2 5.1 3.8 1.9 0.4 Iris-setosa Iris-setosa Iris-setosa 5.1 3.8 1.6 0.2 5.1 3.4 1.5 0.2 Iris-setosa 5.1 3.3 1.7 0.5 Iris-setosa 4.8 3.4 1.9 0.2 Iris-setosa 5.3 3.7 1.5 0.2 Iris-setosa 5.1 3.5 1.4 0.3 Iris-setosa 4.8 3.0 1.4 0.1 Iris-setosa 5.2 3.5 1.5 0.2 Tris-setosa 5.5 4.2 1.4 0.2 Iris-setosa 5.4 3.9 1.3 0.4 Iris-setosa 4.7 3.2 1.3 0.2 Iris-setosa 5.0 3.0 1.6 0.2 Iris-setosa - 5.8 4.0 1.2 0.2 Iris-setosa 5.9 3.2 4.8 1.8 Iris-versicolor 5.5 2.4 3.7 1.0 Iris-versicolor 6.9 3.1 4.9 1.5 Iris-versicolor - 6.6 3.0 4.4 1.4 5.6 2.9 3.6 1.3 Iris-versicolor Iris-versicolor - Iris-versicolor 6.7 3.1 4.4 1.4 6.0 2.7 5.1 1.6 Iris-versicolor 6.1 2.9 4.7 1.4 Iris-versicolor 4.9 2.4 3.3 1.0 Iris-versicolor 6.1 2.8 4.7 1.2 Iris-versicolor 6.7 3.1 4.7 1.5 Iris-versicolor 7.0 3.2 4.7 1.4 5.7 2.6 3.5 1.0 Iris-versicolor Iris-versicolor Iris-versicolor 5.5 2.3 4.0 1.3 5.6 3.0 4.5 1.5 Iris-versicolor 6.0 2.9 4.5 1.5 Iris-versicolor 6.0 3.4 4.5 1.6 Iris-versicolor 6.1 2.8 4.0 1.3 Iris-versicolor 5.9 3.0 4.2 1.5 Iris-versicolor 6.7 3.0 5.0 1.7 Iris-versicolor 4.9 2.5 4.5 1.7 Iris-virginica 6.7 3.3 5.7 2.5 Iris-virginica 6.3 2.7 4.9 1.8 Iris-virginica 7.2 3.2 6.0 1.8 5.6 2.8 4.9 2.0 6.7 3.3 5.7 2.1 Iris-virginica Iris-virginica Iris-virginica Iris-virginica Iris-virginica 6.5 3.0 5.8 2.2 6.4 2.8 5.6 2.2 6.3 2.9 5.6 1.8 Iris-virginica 7.9 3.8 6.4 2.0 Iris-virginica 6.7 3.0 5.2 2.3 Iris-virginica 6.3 2.5 5.0 1.9 Iris-virginica 7.1 3.0 5.9 2.1 Iris-virginica 6.5 3.2 5.1 2.0 Iris-virginica 5.8 2.7 5.1 1.9 Iris-virginica 7.6 3.0 6.6 2.1 Iris-virginica 6.5 3.0 5.5 1.8 Iris-virginica Iris-virginica 7.2 3.0 5.8 1.6 6.0 2.2 5.0 1.5 Iris-virginica Iris-virginica 6.9 3.1 5.1 2.3

Step by Step Solution

There are 3 Steps involved in it

1 Expert Approved Answer

Step: 1 Unlock blur-text-image

Question Has Been Solved by an Expert!

Get step-by-step solutions from verified subject matter experts

Step: 2 Unlock

Step: 3 Unlock

Students Have Also Explored These Related Accounting Questions!

import numpy as np from collections import Counter from sklearn import datasets, model _ selection # No other libraries will be imported # load the Iris Dataset, which contains 1 5 0 samples. # each...

Please complete the following in R 5. 3.5 4.7 1.5 5.0 19 Sepal Length Sepal. Width Petal. Length Petal. Width Species 0.2 setosa * 2 3.0 0.2 setosa 18 3 3.2 0.2 setosa 4.6 0.2 setosa # 5 3.6 1.4 0.2...

ECO987Q3 1. (10) Briey discuss the following statements (keep your answers short and concise): (a) The consumption-based capital asset pricing model is inconsistent with high volatility of stock...

1 4 . 9 Project 5 : Machine Learning Overview In this project, we will explore some basic concepts in artificial intelligence. Using the concepts you have learned thus far in the course, you will...

Please write the code without using any packages The Iris flower dataset (https://en.wikipedia.org/wiki/lris_flower_data_set) was organized by Ronald Fisher in 1936. It is a commonly used dataset for...

Obtain one of the data sets available at the UCI Machine Learning Repository and apply as many of the different visualization techniques described in the chapter as possible. The bibliographic notes...

We have provide some data describing the varieties of the iris. The first 4 fields are the features of the iris, and the last field is the specie of iris. Figure 2: Lris versicolor - Implement the...

PA5 Decision Trees (100 pts) Overview and Requirements----------------------- For this programming assignment, we are going to investigate the accuracy of our ID3 decision tree implementation...

Question No.2: (NEED SOLUTION ASAP) Consider the below given iris data set. This dataset contains 3 classes of 15 instances each and each class refers to a type of iris plant. The dataset has two...

The following information is available for Wonderway, Inc., for 2018: Factory rent Company advertising Wages paid to laborers Depreciation for president's vehicle Indirect production labor Utilities...

Is Hobbess proposed solution to the problem of egoism, via the social contract, acceptable?

Which function is NOT performed by the National Taxpayer Advocate Office? A . Identify areas in which taxpayers have problems dealing with the IRS. B . Propose changes to IRS administrative practices...

BUS - During your discussions with the experienced project manager, they stressed that beyond profitability, other key elements your project should focus on are diversity, equity, and inclusion ( DEI...

Have you done a career self-assessment? Was it easy or difficult? Why? Do you believe you could benefit from taking a career test? Why or why not?

How would you feel about working for a domestic company and competing against foreign companies? How would you feel about working for a foreign company at home? How would you feel about working in...

Will your apparel and grooming really affect your career success? Why or why not?