Question: Build ML Model using python code for K nearest neighbors, Naive Bayesian, Random Forest, and Adaboost for the below onlineuseradvertisement dataset, and Performance Evaluation where

Build ML Model using python code for K nearest neighbors, Naive Bayesian, Random Forest, and Adaboost for the below onlineuseradvertisement dataset, and Performance Evaluation where 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

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