k-NN classification: Given a data point in the test set and a training set for which class labels are given, find the k nearest data points in the training set and target label is computed as the mode of the class label of the k nearest neighbours. Advantages : Simple to implement. Can learn non-linear…
How does KNN algorithm work ? What are the advantages and disadvantages of KNN ?
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