Consider the following data points (P1 to P7) with two features, x1 and x2. Labels for...

   

Transcribed Image Text:

Consider the following data points (P1 to P7) with two features, x1 and x2. Labels for P1 to P5 have been given. a) Classify (assign labels) to the remaining points using KNN with k=1 using L1 distance. P1 P2 P3 P4 P5 P6 P7 x1 0 2 0 -1 1 0 5 x2 0 2 4 1 2 -4 1 Label 1 2 312 b) Can you use k=2 or k=3? Briefly explain your answer. c) What are the advantages and disadvantages of using a large value of 'k' in KNN? Explain briefly. Consider the following data points (P1 to P7) with two features, x1 and x2. Labels for P1 to P5 have been given. a) Classify (assign labels) to the remaining points using KNN with k=1 using L1 distance. P1 P2 P3 P4 P5 P6 P7 x1 0 2 0 -1 1 0 5 x2 0 2 4 1 2 -4 1 Label 1 2 312 b) Can you use k=2 or k=3? Briefly explain your answer. c) What are the advantages and disadvantages of using a large value of 'k' in KNN? Explain briefly.

Answer rating: 100% (QA)

The provided image contains a table with data points P1 to P7 where data points P1 to P5 have labels and the task is to classify assign labels to P6 a... View the full answer