I am currently working with the k-Nearest Neighbors (KNN) algorithm.
Is it possible to compare two datasets with different ranges of values?
In other words, I have one dataset with a range $\in [0,1]$, and the second range of the other dataset $\in [-1,1]$.
I have calculated some performance measures such as accuracy and F1 score, among others. Then, I compared them based on the performance measures.
Is this approach correct? Or do I need to transform the datasets to they lie in common ranges?
What I mean by the range that for example, all the observations in the first dataset are between 0 and 1. Also, When I say comparing two datasets, I mean comparing the outcome of the performance measures such as accuracy and F1 score and so on.
The range is for the predictor variables. The comparison is only to replicate some results. Also, to make sure about different methods.