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 features: sepal length, sepal width. The third column is for species, which holds the value for these types of plants. A new plant is identified. You have to classify the Species class of new identified plant with the help of KNN algorithm.KNN modify the given data by adding number 12 to special length and special width with everyone

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
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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 features: sepal length, sepal width. The third column is for species, which holds the value for these types of plants. A new plant is identified. You have to classify the Species class of new identified plant with the help of KNN algorithm.KNN modify the given data by adding number 12 to special length and special width with everyone 

Sepal Length
Sepal Width
Species
5.3
3.7
Setosa
5.1
3.8
Setosa
7.2
3.0
Virginica
5.4
3.4
Setosa
5.1
3.3
Setosa
5.4
3.9
Setosa
7.4
2.8
Virginica
6.1
2.8
Verscicolor
7.3
2.9
Virginica
6.0
2.7
Verscicolor
5.8
2.8
Virginica
6.3
2.3
Verscicolor
5.1
2.5
Verscicolor
6.3
2.5
Verscicolor
5.5
2.4
Verscicolor
Species
Sepal Length
5.2
Sepal Width
3.1
Transcribed Image Text:Sepal Length Sepal Width Species 5.3 3.7 Setosa 5.1 3.8 Setosa 7.2 3.0 Virginica 5.4 3.4 Setosa 5.1 3.3 Setosa 5.4 3.9 Setosa 7.4 2.8 Virginica 6.1 2.8 Verscicolor 7.3 2.9 Virginica 6.0 2.7 Verscicolor 5.8 2.8 Virginica 6.3 2.3 Verscicolor 5.1 2.5 Verscicolor 6.3 2.5 Verscicolor 5.5 2.4 Verscicolor Species Sepal Length 5.2 Sepal Width 3.1
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