How can KNN be used in the regression. Please give me an idea about what will be the labels and how many labels will be there?
KNN Algorithm Problem
Hello @Management718,
KNN is an algorithm that looks for the closest k similar instances of a test entity and makes a predicition using them. This is based on a intuition of ours that, similar objects tend to be closer in linear spaces.
In classification, we do a voting of the k nearest neighbours. And the class which is the most occuring in them is our predicition
Similarly, in regression, the only change is that rather than doing a voting, we take the mean of the y of the k nearest neighbours. The mean is then our prediction.
Happy Learning 
Thanks
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