Machine Learning, Data Science, Artificial Intelligence.
and over with different hyperparameter settings and then choosing the hyper parameter to be the one with the highest accuracy on the testing set. For example, if you wanted to pick the best k for K Nearest Neighbors, and you thought k would be between 1 and 100, then for each k in 1 to 100, you