Which of the following is not a parameter of the k-NN algorithm?Number of clustersNumber of neighborsDistance metricWeighting method

What parameter in KNN determines the distance metric used to find the nearest neighbors?Answer arean_neighborsmetricweightsalgorithm

When applying k-Nearest Neighbors (KNN) for classification, what is the role of the "k" parameter?a.It specifies the number of dimensions in the dataset.b.It determines the learning rate in the algorithm.c.It defines the number of clusters.d.It sets the number of nearest neighbors to consider for classification.

Which of the statement is INCORRECT about KNN algorithm? KNN works ONLY for binary classification problems If k=1, then the algorithm is simply called the nearest neighbour algorithm Number of neighbours (K) will influence classification output None of the above

In K Nearest Neighbours classification, which of the following statements about K and N (the number of training samples) is/are true?Group of answer choicesK impacts both the accuracy and the computational complexity of the KNN algorithm.K and N should be linearly related, i.e. K/N should be a pre-determined constant.The time taken to perform the classification task increases with N.K should be odd to avoid ties.

What should be the number of neighbors for the K-nearest neighbor regressor?