How to handle cofound variables? [D]

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edit: confound Hello all, I am working on a object classification with a automotive radar point clouds. I compared many models and feature vectors. Once i used range as feature, all models scored higher f1 in all K validation sets and on the final test set. One particular artifact of a radar, is that as the farther the object is the less number of points it returns to the radar. Although the performance improved and there is no overfit in the classical sense, i am afraid my model is learning the