How do I choose the right k value for my model?

How do I choose the right k value for my model?

Choosing the right k value depends on your dataset and the problem you're solving. Are you using k-NN for classification or regression?

I'm using k-NN for classification. What factors should I consider?

You should consider the size of your dataset, the distribution of your classes, and the trade-off between bias and variance.

How can I determine the best k value experimentally?

You can use techniques like cross-validation to test different k values and evaluate their performance based on accuracy or other metrics.

Is there a rule of thumb for selecting k?

A common rule of thumb is to set k as the square root of the number of samples in your dataset, but it's best to experiment.