$1.$ Build ML Model using python code for K nearest neighbors, Naive Bayesian, Random Forest, and Adaboost for the below onlineuseradvertisement dataset, and $2.$

$2.$Performance Evaluation: Do the prediction for the test data and display the results for the inference. Calculate all the evaluation metrics. Comment on the performance of these models. Answer without comment will not be awarded marks.

Sample Data set:

Age Gender Income Location Device Interest$\_$Category Time$\_$Spent$\_$on$\_$Site Number$\_$of$\_$Pages$\_$Viewed Click

$056$ Male $99003$ Rural Mobile Sports $81\mathrm{.}9793237270$

$146$ Male $72395$ Suburban Tablet Sports $59\mathrm{.}8540702731$

$232$ Male $59758$ Suburban Tablet Sports $78\mathrm{.}861988820$

$360$ Male $74312$ Urban Tablet Technology $9\mathrm{.}41157880160$

$425$ Female $88670$ Suburban Mobile Fashion $76\mathrm{.}4684086190$

$538$ Female $35434$ Rural Tablet Technology $94\mathrm{.}45593614101$

$656$ Male $84047$ Urban Mobile Sports $62\mathrm{.}5412114441$

$736$ Male $67775$ Rural Mobile Travel $46\mathrm{.}1140327731$

$840$ Male $95769$ Rural Tablet Technology $36\mathrm{.}904074591$

$928$ Male $86677$ Rural Desktop Fashion $78\mathrm{.}92223577171$

$1028$ Male $65734$ Suburban Desktop Sports $84\mathrm{.}67213784140$

$1141$ Female $60603$ Suburban Tablet Technology $105\mathrm{.}161274101$

$1253$ Female $96708$ Rural Tablet Travel $44\mathrm{.}36841948130$

$1357$ Female $88803$ Rural Mobile Technology $93\mathrm{.}52381535120$

$1441$ Female $59332$ Urban Tablet Fashion $69\mathrm{.}5559197810$

$1520$ Male $41312$ Urban Mobile Technology $106\mathrm{.}5261964191$

$1639$ Male $64179$ Suburban Tablet Travel $65\mathrm{.}69839245191$

$1719$ Male $91442$ Suburban Desktop Travel $64\mathrm{.}5274302761$

$1841$ Male $60379$ Urban Desktop Fashion $71\mathrm{.}45586437131$

$1961$ Male $37297$ Rural Tablet Travel $91\mathrm{.}17126584191$

$2047$ Female $22011$ Suburban Mobile Sports $115\mathrm{.}9394051131$

$2155$ Male $64014$ Rural Desktop Travel $13\mathrm{.}4597857341$

$2219$ Female $31738$ Urban Mobile Sports $11\mathrm{.}1449792721$

$2338$ Female $67498$ Suburban Tablet Technology $112\mathrm{.}8182888150$

$2450$ Female $31120$ Suburban Tablet Sports $65\mathrm{.}93569693121$

$2529$ Female $28767$ Urban Desktop Sports $75\mathrm{.}7138466870$