Question: Q 1 . ( 2 5 pts ) Consider the Iris dataset given below. table [ [ Record , Sepal Lengtr,Sepal Breadth,Petal Length,Petal Breadth,Species

Q1.(25 pts) Consider the Iris dataset given below.
\table[[Record,Sepal Lengtr,Sepal Breadth,Petal Length,Petal Breadth,Species],[1,6.8,3.2,5.9,2.3,Iris-Virginica],[2,6.9,3.1,5.1,2.3,Iris-Virgnica],[3,4.9,3,1.4,0.2,Iris-Setosa],[4,5.6,3,4.5,1.5,rris-Vers icolor],[5,4.8,3.1,1.6,0.2,ris-Setosa],[6,5.8,2.8,5.1,2.4,ris-Virginica],[7,7.2,3.6,6.1,2.5,Iris-Virginica],[8,5.1,3.5,1.4,0.3,ris-Setosa],[9,4.7,3.2,1.6,0.2,ris-Setosa],[10,6.6,3,4.4,1.4,rris-Vers icolor],[Mean,,,,,],[SD,0.84,3.15,3.71,1.33,]]
Use the k-NN Algorithm (with K=3) to predict the species for a flower with the following sepal and petal dimensions. Show all the work.
Sepal Length =5
Sepal Breadth =3.4
Petal Length =1.5
Petal Breadth =0.4
 Q1.(25 pts) Consider the Iris dataset given below. \table[[Record,Sepal Lengtr,Sepal Breadth,Petal

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