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Syllabus

f(x)=x2

varience of the following

class interval 20-24 25-29 30-34 35-39 40-44 45-49

frequency 15 25 28 12 12 8

Assume we are doing a k-nearest neighbor (kNN) algorithm, and are just using the 2 nearest neighbours (i.e. 2-NN). Each training example has 3 attributes (X1...X3) and the value that is being predicted (Y), as shown in the table below.

X1 X2 X3 Y

10 7 8 15

9 6 5 21

We are given the example (10,5,7) and want to predict the Y value. That is, we have a vector with X1 = 10, X2=5, and X3=7 and want to predict the Y value

Assume that we want to weight the 2NN examples for the prediction of Y using the inverse distance squared as the weighting. What is the predicted value of Y ? Show all workings

long divition

for example: 39.23

for example: 396.23

^{2}-1/12if a co efficient of variation of a collection of data is 57 and its s.d is 6.84 .find the mean