what is the meaning of boundary in knn algorithm.
In the quiz, it is asked ‘boundary becomes smoother’ when we increase/decrease the value of k?
Boundary in knn
Hey @akshat21, in lay man terms smoothness of boundary is something like the boundaries separating different classes, must be smooth, and must not contains spikes.
Now suppose if k =1 than there will be huge impact of outliers. Which means outlliers will affect the decission boundary a lot as few points which are very very close to outlier will contain another separate area. on the other hand if k=5 or any other little higher value than the impact of the outliers will be reduced. So the points which are very close to the outlier point, will be classified correctly.
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