There are some pretty egregious errors here. Decreasing K increases the variance and is more prone to overfitting. Increasing K increases the bias and is not necessarily more accurate. It all depends on the underlying distribution of the data.

What is the time complexity of knn? Why should I use it? When do you not want to use it?