You have a dataset of individuals who are classified based on two features: Age and Income, and the

target classification is whether they buy a certain product $($Yes or No$).$

Given Data:

Age $($years$)|$ Income $($thousands$)|$ Buys Product $($Yes$/$No$)$

$-------------------------------------------------------$

$25|40|$ No

$35|100|$ Yes

$45|32|$ No

$20|36|$ No

$35|26|$ Yes

$40|75|$ Yes

$33|47|$ No

$50|50|$ Yes

Determine whether a $30-$year$-$old with an income of $48$ thousand is likely to buy the product or not using

KNN with K$=3.$ Assume Euclidean distance for simplicity.

Steps:

$$ Calculate the Euclidean distance between the new individual and each of the given data points.

$$ Identify the three nearest neighbors.

$$ Determine the majority class of these three neighbors.

$$ Predict the class for the new individual based on the majority vote.

Now using the same dataset as above, explore the impact of different K values.

Predict whether a $42-$year$-$old with an income of $30$ thousand will buy the product using KNN for K$=1$

and K$=5.$

Hint:

Create a table to organize your distance calculations and neighbor classification.

Point Age $($years$)$ Income $($thousands$)$ Euclidean Distance to New Point Buys Product $($Yes$/$No$)$You have a dataset of individuals who are classified based on two features: Age and Income, and the

target classification is whether they buy a certain product $($Yes or No$).$

Given Data:

Age $($years$)|$ Income $($thousands$)|$ Buys Product $($Yes$/$No$)$

Determine whether a $30-$year$-$old with an income of $48$ thousand is likely to buy the product or not using

KNN with $K=3.$ Assume Euclidean distance for simplicity.

Steps:

Calculate the Euclidean distance between the new individual and each of the given data points.

Identify the three nearest neighbors.

Determine the majority class of these three neighbors.

Predict the class for the new individual based on the majority vote.

Now using the same dataset as above, explore the impact of different $K$ values.

Predict whether a $42-$year$-$old with an income of $30$ thousand will buy the product using KNN for K$=1$

and $K=5.$

Hint:

Create a table to organize your distance calculations and neighbor classifications.