What is the significance of the k-value in machine learning?

What is the significance of the k-value in machine learning?

The k-value is crucial in algorithms like k-NN, determining how many neighbors to consider for classification.

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

Choosing the right k-value often involves experimentation; a common approach is to use cross-validation.

What happens if I choose a very high or very low k-value?

A low k-value can lead to overfitting, while a high k-value may cause underfitting, losing important patterns.

Are there any rules of thumb for selecting k?

A common rule of thumb is to set k as the square root of the number of data points in your dataset.