Hi fellow learners,
I’m doing the Guided Project: Predicting Car Prices using k-nearest neighbor and am wondering about the feature selection in the solution. Why do we have to use continuous data only? Why is discrete data not used as features like
symboling? I get that
num-of-doors is categorical but it is ordinal and can be converted to numerical easily.
I’ve been googling but haven’t found anything that helps, would really appreciate some help in clarifying feature selection in the k-nearest neighbor regression.