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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
if a co efficient of variation of a collection of data is 57 and its s.d is 6.84 .find the mean
E.g: 9876543210, 01112345678
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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
if a co efficient of variation of a collection of data is 57 and its s.d is 6.84 .find the mean