Knn Classifiers Explain Relationship Parameter K Model S Tendency Overfitting Q37101341

For kNN classifiers, explain the relationship between parameterk and the model’s tendency to overfitting.

Solution

The “K” is KNN algorithm is the nearest neighbors we wish totake vote from.

We should choose K in K – Nearest Neighbour Algorithms wisely.If we choose our K = 1 , then our algorithm behaves as over fittingand it gives a non – smooth decision surface. As K increases, ourdecision surface gets smoother. And,if we choose K = n, then ouralgorithm behaves as underfitting and it gives a smooth decisionsurface and everything becomes one class which is the majorityclass in our DataSet. So, we should

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