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

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

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 distance metric is commonly used in k-Nearest Neighbors (KNN) for numerical data?a.Euclidean distanceb.Hamming distancec.Cosine similarityd.Jaccard distance

For a given set of training data and a query xq, the k-nearest-neighbours algorithm finds the k examples that are nearest to xq based on a selected distance measure, denoted as NN(k, xq). Suppose we use KNN to solve a regression problem  by taking the average of the output values of k neighbours. If the output values of k=4 neighbours are {8,9,11,12), what is the output for this query sample xq (Keep one decimal place)?

What is the most widely used distance metric in KNN?Euclidean distanceManhattan distancePerpendicular distanceAll of the aboveClear selection