Using the k$-$nearest neighbors model, predict, and

evaluate, which programming language people use.

$$ Dataset

$$ knn$\_$data dataset with $75$ records

$$ attributes: longitude, latitude, lang$($target$)$

$$ Testing Split the dataset into $5$ subsets of equal size

$$ Use $5-$fold cross validation method for evaluation

$$ After the initial model testing, do hyperparameter

tuning by using GridSearch and Randomized

GridSearch.

$$ Show the results for the base model and hypertuned

models.