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| 1. What is K Nearest Neighbour Algorithm? | |
| Ans. K Nearest Neighbour is an algorithm that can be used for classification and Regression. It stores the training case and classifies the new data based on the similarity measures. | |
| 2. What is the meaning of K in K-Nearest Neighbour? | |
| Ans. K stands for the number of nearest neighbors that we wish to include in finding the classification of given data. It can be any number value ranging from 1 to n where n is the number of datasets given. | |
| 3. What are the advantages of K-Nearest Neighbour? | |
| Ans. K-Nearest Neighbours is a fast and accurate algorithm. It is easy to implement and it is a versatile Algorithm. One can use it for Regression as well as Classification. | |
| 4. What are the disadvantages of K-Nearest Neighbour? |